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Some critical readings on AI for my graduate students: an updated reading list
Earlier this month I blogged about finding good readings about AI for one of my graduate seminars. I listed a few, then blegged for more.
In response, folks were very generous. Suggestions flooded in through the comments, then also by social media and email. So I wanted to corral all of them into one spot for my own use, and hopefully other people will find it helpful. If so, I can keep updated it over time, or migrate it to another platform.
About the list: I alphabetized it by author(s) but not into consistent subcategories. I haven’t formatted it too rigorously, because I’m under the gun of several deadlines.
These are mostly articles, but also blog posts, short stories, Substack posts, a comic strip, and several books. I asked for readings, then violated that textual precondition by including a game. Respondents added items in other media, such as podcasts, web-based databases. I asked for recent stuff, but people suggested older texts which were really useful, so I’ve included them as well.
Jiafu An, Wenzhi Ding, and Chen Lin, “ChatGPT: tackle the growing carbon footprint of generative AI,” Nature, March 21, 2023.
Brent Anders, The AI Literacy Imperative. Sovorel Publishing: 2023.
