Resources for Introducing A.I into the Design Classroom
Overview of Key A.I. and Design Issues: Helen Armstrong, Big Data, Big Design: Why Designers Should Care about Artificial Intelligence (Princeton Architectural Press: 2021) Sample of Conclusion
- Great list: AI Generative Art Tools
- Great newsletter of tools: AI Art Weekly Newsletter
- Check out: Dalle-mini/Craiyoni and Imagen, ChatGPT (students will need to sign up), Stable Diffusion, Midjourney (via Discord)
- Check out: Artbreeder and RunwayML (train your own datasets)
- Google Teachable Machine
- CSS Code Generators
- A.I. Figma plugins: automator.design/
- In Machines We Trust, a podcast about the automation of everything
- Practical A.I., making artificial intelligence practical, productive, and accessible to everyone.
- Flash Forward, a podcast about possible and not so possible futures
- The World as You’ll Know It
- Co-existing with A.I., a podcast discussing how AI will affect the world and what we can do to make the best of it.
- Tech Won’t Save Us with Paris Marx
- Coexisting with AI, Nassir Al-Khishman
Resources for A.I. Discussion
GENERATIVE A.I. & LLMS (Large Language Models)
- Caroline Sinders Are.na list of Generative A.I. Resources.
- John Maeda’s short videos on A.I. (The videos in the series begin with Design and Artificial Intelligence:)
Themes: automation, creativity, escaping the screen, alternative forms of intelligence
- Read: Machine Learning: Are Designers Even Needed Anymore? (this article lends itself to a experimenting with A.I. as an ideation tool for a branding project)
- Read: “How to Use AI to Generate Creative Ideas,” by Ethan Mollick, fastcompany.com (thinking about ChatGP3/using language to generate ideas)
- Read: Helen Armstrong: Machine Learning Has Already Transformed the Design Profession. How Do We Use It Ethically?
- Read: Making AI Art Responsibly, also on issue.com, by Lia Coleman in collaboration with the Partnership on AI
- Read: Patrick Hebron interview (currently founder and director of the Machine Intelligence Design group at NVIDIA)
- Watch: Matt Jones interview
- Watch: “The Danger of AI is Weirder Than You Think,” by Janelle Shane
- Check out: Janelle Shane and Helena Sarin
- Ai Weirdness: Interview with a Squirrel
- Jon Yablonski, AI in Design
- Andreas Refsgaard
- Blaise Agüera y Arcas, How Computers are Learning to Be Creative , TED, 2016.
- I highly recommend Janelle Shane’s book: You Look Like a Thing and I Love You.
- Robert Peart, “Automation Threatens to Make Graphic Designers Obsolete,” Eye on Design, October 25, 2016 (Note, written in 2016)
- AI Writing Code
- Arthur I. Miller, The Artist in the Machine: The World of AI-Powered Creativity, MIT Press, 2019.
Themes: Ethics, Algorithmic Bias, Data, Classification, Exclusion
- Read: Kate Crawford and Trevor Paglen “Excavating AI”. See also Anatomy of an AI System
- Check out: Gender Shades Project, research led by Joy Buolamwini & Timnit Gebru
- Watch: Mimi Onuoha, How We Became Machine Readable
- Check out: Mimi Onuoha’s work
- Read: Jer Thorp, “By Canoe and Caravan” from Living in Data
- Watch: Rumman Chowdhury, Moral Outsourcing
- Check out: Sarah Gold’s studio IF, and Comuzi Design
- Watch: MLUX Tech Talk: Making AI Art Responsibly
- Ben Vickers and K Allado-McDowell, Atlas of Anomalous A.I. (London: Ignota, 2020)
- Silas Munro, W. E. B. Du Bois’s Data Portraits: Visualizing Black America
- Flash Forward: Can you Sue an Algorithm? (podcast)
- Google PAIR led by Fernanda Viégas and Martin Wattenberg
- AI Now Institute
- Cathy O’Neil, Weapons of Math Destruction (Broadway: 2017)
- Any lectures by Sarah Gold of IF
- Catherine D’Ignazio and Lauren F. Klein, Data Feminism, (Cambridge: MIT Press, 2020). (Great book on data and exclusion)
- MoMA R&D Salon 24 AI-Artificial Imperfection
- Black in AI
- Data for Black Lives, Founded by Yeshimabeit Milner
- Caroline Sinders: “We Need a New Approach to Designing for AI, and Human Rights Should Be at the Center”
- Rumman Chowdhury, “Building Ethical and Responsible Technology into Government,” Code for America Conference, June, 2019.
- Noble, Safiya Umoja. Algorithms of Oppression: How Search Engines reinforce Racism. NYU Press, 2018
- Escobar, Arturo. Designs for the Pluriverse: Radical interdependence, autonomy, and the making of worlds. Duke University Press, 2018.
Themes: robots, animals, companions, conversation, social connection, brain controlled interface, human-computer integration
- Read: Betti Marenko & Philip van Allen (2016) Animistic design: how to reimagine digital interaction between the human and the nonhuman, Digital Creativity, 27:1, 52-70, or Animistic Design from Big Data, Big Design
- Read: Kate Darling, The New Breed: What Our History with Animals Reveals about our Future with Robots (chapter 6 recommended for the classroom)
- Read: Sherry Turkle, Reclaiming Conversation
- Listen to this podcast: Seeing Double: AI Births Digital Humans
- Check out: “Amazon Has A New Voice: Your Dead Relative’s”
- Check out: MIT’s Fluid Interfaces Group led by Pattie Maes. (Particularly Alter Ego )
- Check out: Neuralink. Also Facebook pulls funding for BCI (brain controlled interface)
- Read: Florian Mueller, et.al., “Next Steps for Human-Computer Integration,” CHI 2020.
- In Machine’s We Trust podcast, “What’s Behind a Smile?” and “AI Reads Human Emotions. Should it?”
- Talk, Rana el Kaliouby Humanizing Artificial Intelligence
- Eli Pariser. “Beware Online ‘Filter Bubbles.’” TED. Video File. March 2011.
- Yuval Noah Harari, 21 Lessons for the 21st Century, (New York: Random House, 2019).
- Joël van Bodegraven, “How Anticipatory Design Will Challenge Our Relationship with Technology,” in The AAAI 2017 Spring Symposium on Designing the User Experience of Machine Learning Systems Technical Report SS-17-04 , (Stanford: AAI, 2017), 436.
Themes: privacy, surveillance, Surveillance Capitalism
- Read: “You Are Now Remotely Controlled” by Zuboff, New York Times.
- Watch: Apple ad, Data Auction
- Watch: Glenn Greenwald: Why Privacy Matters
- Listen: Rose Eveleth, “Dollars for Data,” Flash Forward (podcast)
- Watch: Sarah Gold, “Trust and Digital Rights in Learned Systems,” PAIR UX Symposium 2018 (great discussion of what part design plays in the surveillance debate).
- Read: What is the Dark /Dark Web?
- Your Phone Tracks you More than You Think (interactive cell phone tracking map)
- Check out: Privacy Assistants: Kagi from Artefact
- Check out: Find Face App
- Check out: Interview with Alex (a speculative A.I. interview project created by New York City-based multimedia artist Carrie Sijia Wang)
- Privacy in 2034: A Corporation Owns Your DNA
- “‘An Invisible Cage’: How China Is Policing the Future,” New York Times
- Podcast:In Machines We Trust, “Who Watches AI Watching Students?”
- The New Ways Your Boss is Spying on You
- Check out your activity on myactivity.google
- AIGA Interview: David Carroll
- The Great Hack documentary on Netflix, 2019, (trailer here)
- New York Times Privacy Project (look for articles that interest you)
- A. Das, M. Degeling, D. Smullen, and N. Sadeh, Personalized Privacy Assistants for the Internet of Things, 2018 IEEE Pervasive Computing: Special Issue – Securing the IoT, April 2018
- Karen Hao, “The two-year fight to stop Amazon from selling face recognition to the police” MIT Tech Review, June 12, 2020,
- Joanne McNeil, Lurking: How a Person Became a User
- Jenny Odell, How to Do Nothing: Resisting the Attention Economy
- Rebecca Heilweil, “From Macy’s to Albertsons, facial recognition is already everywhere”
- “Watching the watchers: bias and vulnerability in remote proctoring software” a new study that talks about the ways in which the surveillance tech used on students can be easily bypassed and used for other means.
General AI Films
- Frontline: In the Age of AI (documentary on PBS)
- iHuman film (view on Vimeo, etc.)
- The Great Hack (on Netflix)
- The Social Dilemma (on Netflix)
- Not a film but a great source of lectures on MLUX: ML and UX Meetup Group