In my AI & Machine Learning course, I have each student choose and read a book about the social context of AI. Here's the current list of options:
https://docs.google.com/spreadsheets/d/1IfAQx8gbiDUQaQFDGcW0o353BKtizoR3N4Jp7zy1MkQ/edit?usp=sharing
I'd be interested in your suggestions, with the following constraints:
1) It has to be nonfiction.
2) It must be no more than ten years old.*
Thanks!
#ai #ml #MachineLearning #ethics #TechEthics #bias #privacy #justice #equality #AlignmentProblem
*Every time I open this to suggestions, someone comes out of the woodwork to suggest that students read some Really Important book that was written in 1974. That may very well be, but they should do it in a course in philosophy or the history of technology, not this one. The world has changed too much.
@PhilippBayer Hmm, it's at the edge. It's been a while since I read it, but I think it's more about critical thinking (specifically responding to data visualization and statistics) than about AI and machine learning.
Fun fact: one of the authors, @ct_bergstrom, is on Mastodon.
@peterdrake @ct_bergstrom I agree, it's really on the edge of what you want! I still recommend it to students to want to learn more, but the 'societal impact' isn't really the focus
@PhilippBayer @ct_bergstrom I think it's being used in some sections of our first-year quantitative seminar.
Delighted to hear that! Let me know if there is anything I can to do support.
@peterdrake Would 'Calling Bullshit' fit? It has a few chapters on critically evaluating the claims of AI, especially in terms of dataset bias