Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
Visualizing AI
NID, Design Project 4 — August 2024
NID, Design Project 4 — August 2024
NID, Design Project 4 — August 2024
NID, Design Project 4 — August 2024
NID, Design Project 4 — August 2024
My Role
My Role
My Role
My Role
My Role
Critical Foresight
User Experience Research
Systems Thinking
Strategy Design
Speculative Design
Design Research
Critical Foresight
User Experience Research
Systems Thinking
Strategy Design
Speculative Design
Design Research
Critical Foresight
User Experience Research
Systems Thinking
Strategy Design
Speculative Design
Design Research
Critical Foresight
User Experience Research
Systems Thinking
Strategy Design
Speculative Design
Design Research
Critical Foresight
User Experience Research
Systems Thinking
Strategy Design
Speculative Design
Design Research
Timeline
Timeline
Timeline
Timeline
Timeline
Ongoing project
Ongoing project
Ongoing project
Ongoing project
Ongoing project
Overview
Overview
Overview
Overview
Overview
This explorative and speculative project is a subset of a larger strategy - an attempt to understand the nuances of interrelations between people (especially Designers) and generative AI, and accordingly develop frameworks that teach not merely how to work with AI tools and systems, but rather how to think with respect to this technology.
The primary objective of Visualizing AI is to challenge the stereotype around Artificial Intelligence, make people AI literate, and focus on sense making for the purpose of managing expectations and preventing misconceptions. This project tries to expand the vision of what AI can look like today, what it can look like tomorrow, and what role can Designers play in this equation.
2 years ago, I did my first Design Project on Artificial Intelligence, which acted as the stepping stone for this project. The more I learn about AI, the more I feel like I've just scratched the surface. I took this opportunity to test my limits with respect to this technology with all the new learnings and skills I had developed over the years. I've always been fond of tech and innovation, which fueled the drive I needed for this heavily research oriented project.
This explorative and speculative project is a subset of a larger strategy - an attempt to understand the nuances of interrelations between people (especially Designers) and generative AI, and accordingly develop frameworks that teach not merely how to work with AI tools and systems, but rather how to think with respect to this technology.
The primary objective of Visualizing AI is to challenge the stereotype around Artificial Intelligence, make people AI literate, and focus on sense making for the purpose of managing expectations and preventing misconceptions. This project tries to expand the vision of what AI can look like today, what it can look like tomorrow, and what role can Designers play in this equation.
2 years ago, I did my first Design Project on Artificial Intelligence, which acted as the stepping stone for this project. The more I learn about AI, the more I feel like I've just scratched the surface. I took this opportunity to test my limits with respect to this technology with all the new learnings and skills I had developed over the years. I've always been fond of tech and innovation, which fueled the drive I needed for this heavily research oriented project.
This explorative and speculative project is a subset of a larger strategy - an attempt to understand the nuances of interrelations between people (especially Designers) and generative AI, and accordingly develop frameworks that teach not merely how to work with AI tools and systems, but rather how to think with respect to this technology.
The primary objective of Visualizing AI is to challenge the stereotype around Artificial Intelligence, make people AI literate, and focus on sense making for the purpose of managing expectations and preventing misconceptions. This project tries to expand the vision of what AI can look like today, what it can look like tomorrow, and what role can Designers play in this equation.
2 years ago, I did my first Design Project on Artificial Intelligence, which acted as the stepping stone for this project. The more I learn about AI, the more I feel like I've just scratched the surface. I took this opportunity to test my limits with respect to this technology with all the new learnings and skills I had developed over the years. I've always been fond of tech and innovation, which fueled the drive I needed for this heavily research oriented project.
This explorative and speculative project is a subset of a larger strategy - an attempt to understand the nuances of interrelations between people (especially Designers) and generative AI, and accordingly develop frameworks that teach not merely how to work with AI tools and systems, but rather how to think with respect to this technology.
The primary objective of Visualizing AI is to challenge the stereotype around Artificial Intelligence, make people AI literate, and focus on sense making for the purpose of managing expectations and preventing misconceptions. This project tries to expand the vision of what AI can look like today, what it can look like tomorrow, and what role can Designers play in this equation.
2 years ago, I did my first Design Project on Artificial Intelligence, which acted as the stepping stone for this project. The more I learn about AI, the more I feel like I've just scratched the surface. I took this opportunity to test my limits with respect to this technology with all the new learnings and skills I had developed over the years. I've always been fond of tech and innovation, which fueled the drive I needed for this heavily research oriented project.
This explorative and speculative project is a subset of a larger strategy - an attempt to understand the nuances of interrelations between people (especially Designers) and generative AI, and accordingly develop frameworks that teach not merely how to work with AI tools and systems, but rather how to think with respect to this technology.
The primary objective of Visualizing AI is to challenge the stereotype around Artificial Intelligence, make people AI literate, and focus on sense making for the purpose of managing expectations and preventing misconceptions. This project tries to expand the vision of what AI can look like today, what it can look like tomorrow, and what role can Designers play in this equation.
2 years ago, I did my first Design Project on Artificial Intelligence, which acted as the stepping stone for this project. The more I learn about AI, the more I feel like I've just scratched the surface. I took this opportunity to test my limits with respect to this technology with all the new learnings and skills I had developed over the years. I've always been fond of tech and innovation, which fueled the drive I needed for this heavily research oriented project.
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it time for a new set of 10 Commandments of Good Design for a new AI world? How do we shape it to be more wider, equitable, pluralistic, and future proof?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
Is it even possible to develop policies and guidelines that encompass all nuances of ethicality and morality with respect to AI? How do we make it less subjective and more objective?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
How do we evoke a deeper sense of responsibility among Designers? How do we ensure appropriate, thoughtful and accountable use of AI?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
At what point will we no longer need to master tools and skills anymore? Will Design thinking and inherent understanding of these tools and skills be sufficient? How do we prepare Designers for such a future?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How do we prioritize AI and Design rather than AI in Design to augment tasks rather than automate them? How do we maintain our own unique creative voice simultaneously?
How might we develop AI + Designer systems? What do they look like?
How might we develop AI + Designer systems? What do they look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How do we showcase the role of Designers in shaping a more fulfilling future with AI? What does this future look like?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
How can we teach people how to think with respect to AI? What do such frameworks look like? How do we enable people to self evaluate and make informed decisions?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
What does generative AI actually look like beyond the stereotype of glowing blue brains, streams of code and thinking humanoid robots?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
How do we expand the vision of what AI can look like today, what it can look like tomorrow, and create a more inclusive and accessible image for people?
1.1
1.1
1.1
1.1
1.1
Some questions I had throughout the project.
Some questions I had throughout the project.
Some questions I had throughout the project.
Some questions I had throughout the project.
Some questions I had throughout the project.
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
CONTEXT
CONTEXT
CONTEXT
CONTEXT
CONTEXT
The larger strategy.
The larger strategy.
The larger strategy.
The larger strategy.
The larger strategy.
Introducing AI in Design Education
Introducing AI in Design Education
Introducing AI in Design Education
Introducing AI in Design Education
Introducing AI in Design Education
Artificial Intelligence is a fast revolution where new technology spreads worldwide almost instantly. The tool we’ve developed is intelligence itself, and intelligence has now become a service. Due to rapid advancements and increasing influence of AI the Design industry is experiencing a paradigm shift, which has created a significant gap in Design Education. This educational deficit may hinder students’ ability to adapt to evolving industry demands, leaving them unprepared for a future where AI plays a crucial role in Design - hence the need to intervene in the current system.
Artificial Intelligence is a fast revolution where new technology spreads worldwide almost instantly. The tool we’ve developed is intelligence itself, and intelligence has now become a service. Due to rapid advancements and increasing influence of AI the Design industry is experiencing a paradigm shift, which has created a significant gap in Design Education. This educational deficit may hinder students’ ability to adapt to evolving industry demands, leaving them unprepared for a future where AI plays a crucial role in Design - hence the need to intervene in the current system.
Artificial Intelligence is a fast revolution where new technology spreads worldwide almost instantly. The tool we’ve developed is intelligence itself, and intelligence has now become a service. Due to rapid advancements and increasing influence of AI the Design industry is experiencing a paradigm shift, which has created a significant gap in Design Education. This educational deficit may hinder students’ ability to adapt to evolving industry demands, leaving them unprepared for a future where AI plays a crucial role in Design - hence the need to intervene in the current system.
Artificial Intelligence is a fast revolution where new technology spreads worldwide almost instantly. The tool we’ve developed is intelligence itself, and intelligence has now become a service. Due to rapid advancements and increasing influence of AI the Design industry is experiencing a paradigm shift, which has created a significant gap in Design Education. This educational deficit may hinder students’ ability to adapt to evolving industry demands, leaving them unprepared for a future where AI plays a crucial role in Design - hence the need to intervene in the current system.
Artificial Intelligence is a fast revolution where new technology spreads worldwide almost instantly. The tool we’ve developed is intelligence itself, and intelligence has now become a service. Due to rapid advancements and increasing influence of AI the Design industry is experiencing a paradigm shift, which has created a significant gap in Design Education. This educational deficit may hinder students’ ability to adapt to evolving industry demands, leaving them unprepared for a future where AI plays a crucial role in Design - hence the need to intervene in the current system.
KEY CONSIDERATION
KEY CONSIDERATION
KEY CONSIDERATION
KEY CONSIDERATION
KEY CONSIDERATION
Develop a solution that is not time bound.
Develop a solution that is not time bound.
Develop a solution that is not time bound.
Develop a solution that is not time bound.
Develop a solution that is not time bound.
A DIFFERENT APPROACH
A DIFFERENT APPROACH
A DIFFERENT APPROACH
A DIFFERENT APPROACH
A DIFFERENT APPROACH
Not your conventional research.
Not your conventional research.
Not your conventional research.
Not your conventional research.
Not your conventional research.
Finding gaps to build on
Finding gaps to build on
Finding gaps to build on
Finding gaps to build on
Finding gaps to build on
A topic such as AI in Design, where there are less facts and more subjectivity, couldn't be approached in the traditional way. I had to keep in mind that the discussion around AI is quite fragile when it comes to Designers. Everyone has their own perceptions of what it is and there was no one correct way of approaching it.
I reached out to Designers currently in the industry, either working in studios, corporates or as freelancers, and AI experts. I heavily depended on the discussions I had with them to validate or eliminate my biases and find gaps that I could potentially build on. Talking to these people gave me a concrete idea of the current industry and where exactly in the system did I need to intervene. These are some quotes that resonated with me the most:
A topic such as AI in Design, where there are less facts and more subjectivity, couldn't be approached in the traditional way. I had to keep in mind that the discussion around AI is quite fragile when it comes to Designers. Everyone has their own perceptions of what it is and there was no one correct way of approaching it.
I reached out to Designers currently in the industry, either working in studios, corporates or as freelancers, and AI experts. I heavily depended on the discussions I had with them to validate or eliminate my biases and find gaps that I could potentially build on. Talking to these people gave me a concrete idea of the current industry and where exactly in the system did I need to intervene. These are some quotes that resonated with me the most:
A topic such as AI in Design, where there are less facts and more subjectivity, couldn't be approached in the traditional way. I had to keep in mind that the discussion around AI is quite fragile when it comes to Designers. Everyone has their own perceptions of what it is and there was no one correct way of approaching it.
I reached out to Designers currently in the industry, either working in studios, corporates or as freelancers, and AI experts. I heavily depended on the discussions I had with them to validate or eliminate my biases and find gaps that I could potentially build on. Talking to these people gave me a concrete idea of the current industry and where exactly in the system did I need to intervene. These are some quotes that resonated with me the most:
A topic such as AI in Design, where there are less facts and more subjectivity, couldn't be approached in the traditional way. I had to keep in mind that the discussion around AI is quite fragile when it comes to Designers. Everyone has their own perceptions of what it is and there was no one correct way of approaching it.
I reached out to Designers currently in the industry, either working in studios, corporates or as freelancers, and AI experts. I heavily depended on the discussions I had with them to validate or eliminate my biases and find gaps that I could potentially build on. Talking to these people gave me a concrete idea of the current industry and where exactly in the system did I need to intervene. These are some quotes that resonated with me the most:
A topic such as AI in Design, where there are less facts and more subjectivity, couldn't be approached in the traditional way. I had to keep in mind that the discussion around AI is quite fragile when it comes to Designers. Everyone has their own perceptions of what it is and there was no one correct way of approaching it.
I reached out to Designers currently in the industry, either working in studios, corporates or as freelancers, and AI experts. I heavily depended on the discussions I had with them to validate or eliminate my biases and find gaps that I could potentially build on. Talking to these people gave me a concrete idea of the current industry and where exactly in the system did I need to intervene. These are some quotes that resonated with me the most:
Indi Design
Founder
You are an ant and AI is like a road-roller coming towards you. You can either chose to run with it or run from it.
Indi Design
Founder
You are an ant and AI is like a road-roller coming towards you. You can either chose to run with it or run from it.
Indi Design
Founder
You are an ant and AI is like a road-roller coming towards you. You can either chose to run with it or run from it.
Indi Design
Founder
You are an ant and AI is like a road-roller coming towards you. You can either chose to run with it or run from it.
Indi Design
Founder
You are an ant and AI is like a road-roller coming towards you. You can either chose to run with it or run from it.
The Design Ship
The Design Ship
The Design Ship
The Design Ship
The Design Ship
Founder
Founder
Founder
Founder
Founder
Designer of the future is not going to be what we know as a Designer today.
Designer of the future is not going to be what we know as a Designer today.
Designer of the future is not going to be what we know as a Designer today.
Designer of the future is not going to be what we know as a Designer today.
Designer of the future is not going to be what we know as a Designer today.
St+art India
Employer
We need understanding of tools and skills now, we don't need to master them anymore.
St+art India
Employer
We need understanding of tools and skills now, we don't need to master them anymore.
St+art India
Employer
We need understanding of tools and skills now, we don't need to master them anymore.
St+art India
Employer
We need understanding of tools and skills now, we don't need to master them anymore.
St+art India
Employer
We need understanding of tools and skills now, we don't need to master them anymore.
IBM
Employee
AI is helping me strengthen human-human relationships.
IBM
Employee
AI is helping me strengthen human-human relationships.
IBM
Employee
AI is helping me strengthen human-human relationships.
IBM
Employee
AI is helping me strengthen human-human relationships.
IBM
Employee
AI is helping me strengthen human-human relationships.
TATA Elxsi
Employee
The goal isn't to make more imaginative machines but more imaginative people.
TATA Elxsi
Employee
The goal isn't to make more imaginative machines but more imaginative people.
TATA Elxsi
Employee
The goal isn't to make more imaginative machines but more imaginative people.
TATA Elxsi
Employee
The goal isn't to make more imaginative machines but more imaginative people.
TATA Elxsi
Employee
The goal isn't to make more imaginative machines but more imaginative people.
Midjourney
Founder
Is Midjourney a brush or an artist?
Midjourney
Founder
Is Midjourney a brush or an artist?
Midjourney
Founder
Is Midjourney a brush or an artist?
Midjourney
Founder
Is Midjourney a brush or an artist?
Midjourney
Founder
Is Midjourney a brush or an artist?
Samsung
Employee
The people who develop AI think they can solve social problems using code.
Samsung
Employee
The people who develop AI think they can solve social problems using code.
Samsung
Employee
The people who develop AI think they can solve social problems using code.
Samsung
Employee
The people who develop AI think they can solve social problems using code.
Samsung
Employee
The people who develop AI think they can solve social problems using code.
Freelance Designer
Freelance Designer
Freelance Designer
Freelance Designer
Freelance Designer
AI Expert
AI Expert
AI Expert
AI Expert
AI Expert
If sentient AI becomes a thing, would you kick an AI robot dog?
If sentient AI becomes a thing, would you kick an AI robot dog?
If sentient AI becomes a thing, would you kick an AI robot dog?
If sentient AI becomes a thing, would you kick an AI robot dog?
If sentient AI becomes a thing, would you kick an AI robot dog?
QBF
Employee
Dependability on AI makes me feel like Thor without his hammer.
QBF
Employee
Dependability on AI makes me feel like Thor without his hammer.
QBF
Employee
Dependability on AI makes me feel like Thor without his hammer.
QBF
Employee
Dependability on AI makes me feel like Thor without his hammer.
QBF
Employee
Dependability on AI makes me feel like Thor without his hammer.
ITF
Employer
AI can be thought of as a combination of every smart person who ever lived.
ITF
Employer
AI can be thought of as a combination of every smart person who ever lived.
ITF
Employer
AI can be thought of as a combination of every smart person who ever lived.
ITF
Employer
AI can be thought of as a combination of every smart person who ever lived.
ITF
Employer
AI can be thought of as a combination of every smart person who ever lived.
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
and MANY, many more…
3.1
3.1
3.1
3.1
3.1
Quoting people I talked to.
Quoting people I talked to.
Quoting people I talked to.
Quoting people I talked to.
Quoting people I talked to.
IMAGE
IMAGE
IMAGE
IMAGE
IMAGE
Fantasy Co
Fantasy Co
Fantasy Co
Fantasy Co
Fantasy Co
Founder
Founder
Founder
Founder
Founder
AI is going to create unprecedented new business types, experiences, cultural constructs, problems in society and designers will have the opportunity to be absolutely central in defining what the human centered experience is for these new developments.
AI is going to create unprecedented new business types, experiences, cultural constructs, problems in society and designers will have the opportunity to be absolutely central in defining what the human centered experience is for these new developments.
AI is going to create unprecedented new business types, experiences, cultural constructs, problems in society and designers will have the opportunity to be absolutely central in defining what the human centered experience is for these new developments.
AI is going to create unprecedented new business types, experiences, cultural constructs, problems in society and designers will have the opportunity to be absolutely central in defining what the human centered experience is for these new developments.
AI is going to create unprecedented new business types, experiences, cultural constructs, problems in society and designers will have the opportunity to be absolutely central in defining what the human centered experience is for these new developments.
3.2
3.2
3.2
3.2
3.2
The quote that stood out the most.
The quote that stood out the most.
The quote that stood out the most.
The quote that stood out the most.
The quote that stood out the most.
IMAGE
IMAGE
IMAGE
IMAGE
IMAGE
USER RESEARCH
USER RESEARCH
USER RESEARCH
USER RESEARCH
USER RESEARCH
The backbone of good Design.
The backbone of good Design.
The backbone of good Design.
The backbone of good Design.
The backbone of good Design.
Understanding interrelations between people and AI
Understanding interrelations between people and AI
Understanding interrelations between people and AI
Understanding interrelations between people and AI
Understanding interrelations between people and AI
I talked to a sample size of 60 Design students, ranging from each batch and each discipline at NID to outline 4 broad user personas. With a combination of interviews and Fly on the Wall exercises, I was able to understand students’ pain points, needs, usage, knowledge, experience and common patterns with respect to AI.
I talked to a sample size of 60 Design students, ranging from each batch and each discipline at NID to outline 4 broad user personas. With a combination of interviews and Fly on the Wall exercises, I was able to understand students’ pain points, needs, usage, knowledge, experience and common patterns with respect to AI.
I talked to a sample size of 60 Design students, ranging from each batch and each discipline at NID to outline 4 broad user personas. With a combination of interviews and Fly on the Wall exercises, I was able to understand students’ pain points, needs, usage, knowledge, experience and common patterns with respect to AI.
I talked to a sample size of 60 Design students, ranging from each batch and each discipline at NID to outline 4 broad user personas. With a combination of interviews and Fly on the Wall exercises, I was able to understand students’ pain points, needs, usage, knowledge, experience and common patterns with respect to AI.
I talked to a sample size of 60 Design students, ranging from each batch and each discipline at NID to outline 4 broad user personas. With a combination of interviews and Fly on the Wall exercises, I was able to understand students’ pain points, needs, usage, knowledge, experience and common patterns with respect to AI.
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
Knowledge
Experience
Access to tech
Motivation
Fear
“I’m aware of AI’s existence, but have very limited understanding and experience apart from using ChatGPT.”
Goals
Build a strong foundation in Design principles.
Explore various disciplines and find their niche.
Make meaningful connections.
Develop a unique creative style.
Pain Points
Difficult to find time for other things they want to explore.
Unsure where to start with AI.
Overwhelmed by the breadth of topics and complexity.
Intimidated by more tech-savvy batchmates and seniors.
Person A
Design Student
Age - 17
Knowledge
Experience
Access to tech
Motivation
Fear
“I want to learn more about AI but there is no one to guide me, to tell me what’s wrong and what’s right. It feels like a complex topic to try and figure out on my own.”
Goals
Refine their skills as a (discipline) Designer.
Get better at leveraging tools pertaining to their discipline.
Expand their knowledge of Design’s application in real world.
Pain Points
Challenging to keep up with rapid advancements.
Heavily depend on ChatGPT for day to day tasks/assignments.
Lack of inclusivity and acceptance in their Design space regarding AI.
Person B
Design Student
Age - 19
Knowledge
Experience
Access to tech
Motivation
Fear
“It’s too huge - there’s so many things to consider, so much to learn, understand how it can co-exist with Design. It’s exciting but it can easily become scary.”
Goals
Find a specialization in their discipline while maintaining a broad skillset.
Explore things that can make them stand out and enhance their portfolio.
Pain Points
Heavily depend on ChatGPT for day to day tasks/assignments.
Don’t know where to draw the line when it comes to AI in Design.
Don’t know exactly how they can leverage AI in their workflows.
Person C
Design Student
Age - 20
Knowledge
Experience
Access to tech
Motivation
Fear
“I try to incorporate AI in my projects and develop a better understanding but I don’t know whether that is enough. What if it’s not?”
Goals
Develop a portfolio and look for internships.
Align work with current industry trends and expectations.
Leverage AI in their workflows.
Look at things in a broader lens.
Pain Points
Don’t know how to validate the extent of their knowledge of AI.
Anxious about their skills being appreciated in the industry.
Intimidated by people who they think are well versed in this topic.
Person D
Design Student
Age - 22
4.1
4.1
4.1
4.1
4.1
User personas.
User personas.
User personas.
User personas.
User personas.
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
THE STRATEGY
THE STRATEGY
THE STRATEGY
THE STRATEGY
THE STRATEGY
Setting a strong premise.
Setting a strong premise.
Setting a strong premise.
Setting a strong premise.
Setting a strong premise.
AI NEEDS to be introduced in Design Education. How?
AI NEEDS to be introduced in Design Education. How?
AI NEEDS to be introduced in Design Education. How?
AI NEEDS to be introduced in Design Education. How?
AI NEEDS to be introduced in Design Education. How?
Next, I tried to educate myself beyond these opinions through research papers, global AI forums, seminars and webinars, projects looking into AI and human interactions, case studies of successful implementation of AI in educational institutions and much more.
After having a thorough understanding of this extensive system, I developed a strategy to introduce AI in Design Education using the AIDA model.
The strategy is divided into 4 key action areas - Understanding, Thinking, Communicating and Augmenting, which have been used in place of Awareness, Intention, Desire and Action.
Next, I tried to educate myself beyond these opinions through research papers, global AI forums, seminars and webinars, projects looking into AI and human interactions, case studies of successful implementation of AI in educational institutions and much more.
After having a thorough understanding of this extensive system, I developed a strategy to introduce AI in Design Education using the AIDA model.
The strategy is divided into 4 key action areas - Understanding, Thinking, Communicating and Augmenting, which have been used in place of Awareness, Intention, Desire and Action.
Next, I tried to educate myself beyond these opinions through research papers, global AI forums, seminars and webinars, projects looking into AI and human interactions, case studies of successful implementation of AI in educational institutions and much more.
After having a thorough understanding of this extensive system, I developed a strategy to introduce AI in Design Education using the AIDA model.
The strategy is divided into 4 key action areas - Understanding, Thinking, Communicating and Augmenting, which have been used in place of Awareness, Intention, Desire and Action.
Next, I tried to educate myself beyond these opinions through research papers, global AI forums, seminars and webinars, projects looking into AI and human interactions, case studies of successful implementation of AI in educational institutions and much more.
After having a thorough understanding of this extensive system, I developed a strategy to introduce AI in Design Education using the AIDA model.
The strategy is divided into 4 key action areas - Understanding, Thinking, Communicating and Augmenting, which have been used in place of Awareness, Intention, Desire and Action.
Next, I tried to educate myself beyond these opinions through research papers, global AI forums, seminars and webinars, projects looking into AI and human interactions, case studies of successful implementation of AI in educational institutions and much more.
After having a thorough understanding of this extensive system, I developed a strategy to introduce AI in Design Education using the AIDA model.
The strategy is divided into 4 key action areas - Understanding, Thinking, Communicating and Augmenting, which have been used in place of Awareness, Intention, Desire and Action.
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.0
AI + Designer co-creation sessions.
2.1
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
AI-augmented design tool repositories.
2.5
Design futures workshops and seminars.
2.6
AI + Design prototyping labs.
2.7
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.0
AI + Designer co-creation sessions.
2.1
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
AI-augmented design tool repositories.
2.5
Design futures workshops and seminars.
2.6
AI + Design prototyping labs.
2.7
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.0
AI + Designer co-creation sessions.
2.1
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
AI-augmented design tool repositories.
2.5
Design futures workshops and seminars.
2.6
AI + Design prototyping labs.
2.7
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.0
AI + Designer co-creation sessions.
2.1
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
AI-augmented design tool repositories.
2.5
Design futures workshops and seminars.
2.6
AI + Design prototyping labs.
2.7
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
5.1
5.1
5.1
5.1
5.1
Summary of the strategy.
Summary of the strategy.
Summary of the strategy.
Summary of the strategy.
Summary of the strategy.
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
INTERACTIVE
VISUALIZING AI
VISUALIZING AI
VISUALIZING AI
VISUALIZING AI
VISUALIZING AI
Picking a slice of the cake.
Picking a slice of the cake.
Picking a slice of the cake.
Picking a slice of the cake.
Picking a slice of the cake.
The starting point
The starting point
The starting point
The starting point
The starting point
Owing to the scale of the strategy, I had to narrow down to a part of it that I could take forward as the scope of my project. Visualizing AI is the starting point under the first action area of Understanding.
Throughout these 4 months I've come across countless problems surrounding Artificial Intelligence and people. While these problems pertain to the entire proposed strategy, it is impossible to cater to all in a limited time period.
Following a step by step approach, I'll currently be addressing the common problems faced by people, especially Designers concerning the narrowed down scope of Visualizing AI.
Owing to the scale of the strategy, I had to narrow down to a part of it that I could take forward as the scope of my project. Visualizing AI is the starting point under the first action area of Understanding.
Throughout these 4 months I've come across countless problems surrounding Artificial Intelligence and people. While these problems pertain to the entire proposed strategy, it is impossible to cater to all in a limited time period.
Following a step by step approach, I'll currently be addressing the common problems faced by people, especially Designers concerning the narrowed down scope of Visualizing AI.
Owing to the scale of the strategy, I had to narrow down to a part of it that I could take forward as the scope of my project. Visualizing AI is the starting point under the first action area of Understanding.
Throughout these 4 months I've come across countless problems surrounding Artificial Intelligence and people. While these problems pertain to the entire proposed strategy, it is impossible to cater to all in a limited time period.
Following a step by step approach, I'll currently be addressing the common problems faced by people, especially Designers concerning the narrowed down scope of Visualizing AI.
Owing to the scale of the strategy, I had to narrow down to a part of it that I could take forward as the scope of my project. Visualizing AI is the starting point under the first action area of Understanding.
Throughout these 4 months I've come across countless problems surrounding Artificial Intelligence and people. While these problems pertain to the entire proposed strategy, it is impossible to cater to all in a limited time period.
Following a step by step approach, I'll currently be addressing the common problems faced by people, especially Designers concerning the narrowed down scope of Visualizing AI.
Owing to the scale of the strategy, I had to narrow down to a part of it that I could take forward as the scope of my project. Visualizing AI is the starting point under the first action area of Understanding.
Throughout these 4 months I've come across countless problems surrounding Artificial Intelligence and people. While these problems pertain to the entire proposed strategy, it is impossible to cater to all in a limited time period.
Following a step by step approach, I'll currently be addressing the common problems faced by people, especially Designers concerning the narrowed down scope of Visualizing AI.
Cognitive bias - The gap in public understanding of AI is expected, but what’s surprising is the widespread lack of self-awareness regarding the extent of their knowledge.
Cognitive bias - The gap in public understanding of AI is expected, but what’s surprising is the widespread lack of self-awareness regarding the extent of their knowledge.
Cognitive bias - The gap in public understanding of AI is expected, but what’s surprising is the widespread lack of self-awareness regarding the extent of their knowledge.
Cognitive bias - The gap in public understanding of AI is expected, but what’s surprising is the widespread lack of self-awareness regarding the extent of their knowledge.
Cognitive bias - The gap in public understanding of AI is expected, but what’s surprising is the widespread lack of self-awareness regarding the extent of their knowledge.
Too absolute - people, especially Designers tend to be too absolute in thinking that they know a lot about AI, but the truth is even the people who develop this technology think of its as a grey area.
Too absolute - people, especially Designers tend to be too absolute in thinking that they know a lot about AI, but the truth is even the people who develop this technology think of its as a grey area.
Too absolute - people, especially Designers tend to be too absolute in thinking that they know a lot about AI, but the truth is even the people who develop this technology think of its as a grey area.
Too absolute - people, especially Designers tend to be too absolute in thinking that they know a lot about AI, but the truth is even the people who develop this technology think of its as a grey area.
Too absolute - people, especially Designers tend to be too absolute in thinking that they know a lot about AI, but the truth is even the people who develop this technology think of its as a grey area.
Ambiguity - the term AI is thrown around very loosely in todays time. Moreover, it is increasingly becoming a product rather than a feature.
Ambiguity - the term AI is thrown around very loosely in todays time. Moreover, it is increasingly becoming a product rather than a feature.
Ambiguity - the term AI is thrown around very loosely in todays time. Moreover, it is increasingly becoming a product rather than a feature.
Ambiguity - the term AI is thrown around very loosely in todays time. Moreover, it is increasingly becoming a product rather than a feature.
Ambiguity - the term AI is thrown around very loosely in todays time. Moreover, it is increasingly becoming a product rather than a feature.
Dependency - many Designers once they start using generative AI develop a dependency on these models, not knowing where to draw the line.
Dependency - many Designers once they start using generative AI develop a dependency on these models, not knowing where to draw the line.
Dependency - many Designers once they start using generative AI develop a dependency on these models, not knowing where to draw the line.
Dependency - many Designers once they start using generative AI develop a dependency on these models, not knowing where to draw the line.
Dependency - many Designers once they start using generative AI develop a dependency on these models, not knowing where to draw the line.
Inclusivity - lack of inclusivity and acceptance of this technology in Design spaces often results in Designers being anxious. They don't know how to validate the extent of their knowledge, and there's no one to guide them.
Inclusivity - lack of inclusivity and acceptance of this technology in Design spaces often results in Designers being anxious. They don't know how to validate the extent of their knowledge, and there's no one to guide them.
Inclusivity - lack of inclusivity and acceptance of this technology in Design spaces often results in Designers being anxious. They don't know how to validate the extent of their knowledge, and there's no one to guide them.
Inclusivity - lack of inclusivity and acceptance of this technology in Design spaces often results in Designers being anxious. They don't know how to validate the extent of their knowledge, and there's no one to guide them.
Inclusivity - lack of inclusivity and acceptance of this technology in Design spaces often results in Designers being anxious. They don't know how to validate the extent of their knowledge, and there's no one to guide them.
Explainability - transparency in how AI systems work is currently a big issue. This is the primary contributor to the fear of it's complexity.
Explainability - transparency in how AI systems work is currently a big issue. This is the primary contributor to the fear of it's complexity.
Explainability - transparency in how AI systems work is currently a big issue. This is the primary contributor to the fear of it's complexity.
Explainability - transparency in how AI systems work is currently a big issue. This is the primary contributor to the fear of it's complexity.
Explainability - transparency in how AI systems work is currently a big issue. This is the primary contributor to the fear of it's complexity.
THE CHALLENGE
THE CHALLENGE
THE CHALLENGE
THE CHALLENGE
THE CHALLENGE
Speculating a digital 3D interactive space that attempts to visualize generative AI that the user can navigate through and be an active part of the process.
Speculating a digital 3D interactive space that attempts to visualize generative AI that the user can navigate through and be an active part of the process.
Speculating a digital 3D interactive space that attempts to visualize generative AI that the user can navigate through and be an active part of the process.
Speculating a digital 3D interactive space that attempts to visualize generative AI that the user can navigate through and be an active part of the process.
Speculating a digital 3D interactive space that attempts to visualize generative AI that the user can navigate through and be an active part of the process.
UNDERSTANDING ANATOMY
UNDERSTANDING ANATOMY
UNDERSTANDING ANATOMY
UNDERSTANDING ANATOMY
UNDERSTANDING ANATOMY
But how do I propose to visualize AI?
But how do I propose to visualize AI?
But how do I propose to visualize AI?
But how do I propose to visualize AI?
But how do I propose to visualize AI?
Anatomy of an LLM (GPT 3.5)
Anatomy of an LLM (GPT 3.5)
Anatomy of an LLM (GPT 3.5)
Anatomy of an LLM (GPT 3.5)
Anatomy of an LLM (GPT 3.5)
In order to effectively visualize generative AI, I needed to first understand the A-Z of it myself. I spent a lot of time and resources to breakdown the Transformer architecture, the underlying architecture of generative AI models. This knowledge has entirely changed my perception and understanding of Artificial Intelligence and how it works, which was a rewarding yet humiliating experience considering the lens I previously viewed it through - a problem quite commonly seen in a Design space.
For this project, I will be using ChatGPT (something almost every human is familiar with) as a medium to simplify and explain my learnings to the layman.
In order to effectively visualize generative AI, I needed to first understand the A-Z of it myself. I spent a lot of time and resources to breakdown the Transformer architecture, the underlying architecture of generative AI models. This knowledge has entirely changed my perception and understanding of Artificial Intelligence and how it works, which was a rewarding yet humiliating experience considering the lens I previously viewed it through - a problem quite commonly seen in a Design space.
For this project, I will be using ChatGPT (something almost every human is familiar with) as a medium to simplify and explain my learnings to the layman.
In order to effectively visualize generative AI, I needed to first understand the A-Z of it myself. I spent a lot of time and resources to breakdown the Transformer architecture, the underlying architecture of generative AI models. This knowledge has entirely changed my perception and understanding of Artificial Intelligence and how it works, which was a rewarding yet humiliating experience considering the lens I previously viewed it through - a problem quite commonly seen in a Design space.
For this project, I will be using ChatGPT (something almost every human is familiar with) as a medium to simplify and explain my learnings to the layman.
In order to effectively visualize generative AI, I needed to first understand the A-Z of it myself. I spent a lot of time and resources to breakdown the Transformer architecture, the underlying architecture of generative AI models. This knowledge has entirely changed my perception and understanding of Artificial Intelligence and how it works, which was a rewarding yet humiliating experience considering the lens I previously viewed it through - a problem quite commonly seen in a Design space.
For this project, I will be using ChatGPT (something almost every human is familiar with) as a medium to simplify and explain my learnings to the layman.
In order to effectively visualize generative AI, I needed to first understand the A-Z of it myself. I spent a lot of time and resources to breakdown the Transformer architecture, the underlying architecture of generative AI models. This knowledge has entirely changed my perception and understanding of Artificial Intelligence and how it works, which was a rewarding yet humiliating experience considering the lens I previously viewed it through - a problem quite commonly seen in a Design space.
For this project, I will be using ChatGPT (something almost every human is familiar with) as a medium to simplify and explain my learnings to the layman.
Coming soon
Coming soon
Coming soon
Coming soon
Coming soon
USER JOURNEY
Determining how much of Understanding Anatomy is necessary for the user and accordingly mapping the user journey / user flow.
USER JOURNEY
Determining how much of Understanding Anatomy is necessary for the user and accordingly mapping the user journey / user flow.
USER JOURNEY
Determining how much of Understanding Anatomy is necessary for the user and accordingly mapping the user journey / user flow.
USER JOURNEY
Determining how much of Understanding Anatomy is necessary for the user and accordingly mapping the user journey / user flow.
USER JOURNEY
Determining how much of Understanding Anatomy is necessary for the user and accordingly mapping the user journey / user flow.
VISUAL LANGUAGE
VISUAL LANGUAGE
VISUAL LANGUAGE
VISUAL LANGUAGE
VISUAL LANGUAGE
Developing an inclusive and accessible visual language + deciding analogies and visual metaphors
Developing an inclusive and accessible visual language + deciding analogies and visual metaphors
Developing an inclusive and accessible visual language + deciding analogies and visual metaphors
Developing an inclusive and accessible visual language + deciding analogies and visual metaphors
Developing an inclusive and accessible visual language + deciding analogies and visual metaphors
EXECUTION
EXECUTION
EXECUTION
EXECUTION
EXECUTION
Prototyping, testing and deploying.
Prototyping, testing and deploying.
Prototyping, testing and deploying.
Prototyping, testing and deploying.
Prototyping, testing and deploying.
Next Project
Next Project
Next Project
Next Project
Next Project
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.1
AI + Designer co-creation sessions.
2.2
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
Design futures workshops and seminars.
2.5
AI + Design prototyping labs.
2.6
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.1
AI + Designer co-creation sessions.
2.2
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
Design futures workshops and seminars.
2.5
AI + Design prototyping labs.
2.6
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.1
AI + Designer co-creation sessions.
2.2
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
Design futures workshops and seminars.
2.5
AI + Design prototyping labs.
2.6
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting
1.0
Aim
1.1
The first step is to ensure an inherent understanding of AI systems.
1.2
Perceptions are negatively impacted due to AI being highly misrepresented to the layman.
1.3
People, especially Designers tend to be too absolute in thinking that they know a lot, but the truth is even the people who develop this technology think of it as a grey area.
1.4
Familiarizing with this technology and understanding how it works will help identify and prevent misconceptions and manage expectations.
1.5
This area tends to cater to the entire spectrum of mindsets people have regarding AI.
2.0
Media
2.1
Visualizing AI as an interactive medium.
2.2
Immersive learning modules, reading materials, infographics and data visualizations.
2.3
Focus groups and open discussions.
2.4
Explainer videos and podcast series.
3.0
Touchpoint
3.1
Exhibitions, web platforms.
3.2
Textbooks, posters and other such collaterals.
3.3
Online community support and dedicated clubs.
3.4
Video and audio-sharing platforms.
01
Understanding
1.0
Aim
1.1
The next step is to develop frameworks that teach how to think when it comes to AI.
1.2
This area tends to deal with ethicality and morality which are majorly subjective even in the presence of principles and guidelines.
1.3
AI enables freedom, but the outcome of having freedom can go both ways.
1.4
Evoking a deeper sense of responsibility can ensure appropriate, thoughtful and accountable use of AI.
1.5
This can also enable us to self evaluate and make informed decisions to tackle dependability issues.
2.0
Media
2.1
Debate forums and discussion boards.
2.2
Role-playing scenarios and simulations.
2.3
Ethical decision-making frameworks.
2.4
Inter-disciplinary problem solving exercises.
2.5
Outlining principles and guidelines based on the institutions vision.
2.6
Recurring roundtables.
2.7
Platforms for consultations.
3.0
Touchpoint
3.1
Design thinking hackathons focused on AI ethics.
3.2
Design ethics workshops.
3.3
AI ethics board game.
3.4
AI + ethics course module.
3.5
Guest lectures by industry and AI experts.
3.6
AI ethics committee.
02
Thinking
1.0
Aim
1.1
Next step involves two approaches -
1) Learning how to communicate with AI models
2) Maintaining a narrative in the Design space to keep us updated with rapid advancements in this field.
1.2
First approach emphasizes the importance of domain knowledge with respect to our area of expertise to provide proper context and achieve better results.
1.3
The biggest limitation with AI is our imagination and our ability to communicate with it.
1.4
Second approach emphasizes the importance of creating platforms and opportunities that trigger ongoing conversations among individuals regarding AI.
2.0
Media
2.1
Context-rich prompt engineering workshops.
2.2
AI-Designer dialogue simulations and feedback loops.
2.3
Visual to text to AI translation exercises.
2.4
AI communication style guide.
2.5
Seminars, webinars and panel discussions by industry and AI experts.
2.6
Newsletters and blogs.
3.0
Touchpoint
3.1
Discipline-specific tuning workshops.
3.2
Sandboxes for experimentation.
3.3
AI conversation design sprints.
3.4
Critique sessions.
3.5
AI and Design conferences and meetups.
3.6
Online forums.
03
Communicating
1.0
Aim
1.1
The final step prioritizes AI and Design rather than AI in Design.
1.2
This area deals with forward thinking and developing an AI + Designer system which can prove to be better than either one alone and possibly open multiple new avenues for Design.
1.3
Additionally, it advocates for augmenting tasks rather than automating them which can ensure our unique creative voice is maintained (a human-centered approach).
1.4
To sum up, this area explores the role of Designers in shaping a more fulfilling future with AI.
2.0
Media
2.1
AI + Designer co-creation sessions.
2.2
Inter-disciplinary AI collaboration projects.
2.3
Cross-modal AI + Design experiments.
2.4
Design futures workshops and seminars.
2.5
AI + Design prototyping labs.
2.6
AI + Design research papers, articles and publications.
3.0
Touchpoint
3.1
Future-focused design sprints.
3.2
AI + Design course module.
3.3
Work of the future experience lab.
3.4
AI-focused capstone projects.
3.5
Partnerships with Design software development companies.
3.6
Design futures committee.
3.7
AI + Design incubator.
04
Augmenting