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Generative AI Recommended Resources

About this page

The following resources are recommended reading from ASU's Generative AI faculty work group.

To recommend a resource for this page, please submit this form. The work group will review all submissions.

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If you have trouble accessing articles that are behind paywalls, please contact the ASU Library for help at https://askalibrarian.asu.edu/.

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Generative AI: About

ChatGPT-news

The inside story of how ChatGPT was built from the people who made it

Illustration courtesy of Stephanie Arnett/MITTR | ENVATO

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Noam Chomsky: The False Promise of ChatGPT

Illustration courtesy of Ruru Kuo

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Artificial Intelligence

Video courtesy of Last Week Tonight with John Oliver

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ChatGPT Is Everywhere. Here’s Where It Came from

Illustration courtesy of Stephanie Arnett/MITTR

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Why Chatbots Sometimes Act Weird and Spout Nonsense

Photo courtesy of Ruth Fremson/The New York Times

 

 

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How to create, release, and share generative AI responsibly

Illustration courtesy of Stephanie Arnett/MITTR | Getty, ENVATO

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The ChatGPT-Fueled Battle for Search Is Bigger than Microsoft or Google

Image courtesy of Stephanie Arnett/MITTR Degroote Stock/ENVATO

New York Times Graphic

Everybody Is Talking About A.I. What the Heck Is It, Anyway? A guide to the best books about artificial intelligence.

Image courtesy of Errol F. Richardson

Generative AI: Ethical Considerations

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For chat-based ai, we are all once again tech companies’ guinea pigs

Illustration courtesy of Nick Lu

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AI image generator Midjourney blocks porn by banning words about the human reproductive system

Image courtesy of Julia Rockwell 

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This Tool Could Protect Artists From A.I.-Generated Art That Steals Their Style

Image courtesy of Jim Wilson/The New York Times

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An AI That Writes Convincing Prose Risks Mass-Producing Fake News

Image courtesy of Ms. Tech

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A Conversation With Bing’s Chatbot Left Me Deeply Unsettled

Image courtesy of Ruth Fremson/The New York Times

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The Bing Who Loved Me, and Elon Rewrites the Algorithm

Image courtesy of FotoDuets/ Getty Images

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Why You Shouldn’t Trust AI Search Engines

Image courtesy of Stephanie Arnett/MITTR | ENVATO

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AI Art Tools Stable Diffusion and Midjourney Targeted with Copyright Lawsuit

A collage courtesy of The Verge via Lexica

Illustration by Tomi Um

Is It Ethical for Teachers to Use A.I. to Grade Papers?

Illustration by Tomi Um

 

Generative AI: Inclusion

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Will AI tech like ChatGPT improve inclusion for people with communication disability?

Image courtesy of Getty/RyanJLane

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ChatGPT for students with dyslexia? Expert opinion: Examining the use of ChatGPT as an assistive technology tool for students with learning disabilities

Image courtesy of Dystinct

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Designing for Education with Artificial Intelligence: An Essential Guide for Developers

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Artificial Intelligence and the Future of Teaching and Learning

HBR Staff/Imansyah Muhamad Putera/Unsplash

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

Image courtesy of HBR Staff/Imansyah Muhamad Putera/Unsplash

 
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AI Bias - What Is It and How to Avoid It?

What are AI ethics? 5 principles explained

What are AI ethics? 5 principles explained

https://www.unesco.org/en/artificial-intelligence

UNESCO Artificial Intelligence and Ethics

Image courtesy of Shutterstock

Credit: VectorMine / Shutterstock.com © 2024

The Impact of AI in Advancing Accessibility for Learners with Disabilities

Credit: VectorMine / Shutterstock.com © 2024
 

HBR

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make society more or less equal: technological forces, supply-side forces, and demand-side forces. The last of these is particularly underemphasized. The use of AI in a product can change how much customers value it — for example, patients who put less stock in an algorithmic diagnosis — which in turn can affect how that product is used and how those working alongside it are compensated.

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AI Bias - What Is It and How to Avoid It?

Understand the problems of bias inherent in artificial intelligence algorithms & making sure your machine learning systems don't inherit human biases.

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The Impact of AI in Advancing Accessibility for Learners with Disabilities

AI technology tools hold remarkable promise for providing more accessible, equitable, and inclusive learning experiences for students with disabilities.