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4.0
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I waited for this one to come out and it did not disappoint. Very accessible and at times funny, although the subject is of course anything but. Plenty of references to support all claims made and conduct additional research as needed. Makes me feel slightly less alone about not wanting to use "AI" at all and I'm excited to use this as inspiration for future classes on ethics. Wish everyone would read this. 
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Fantastic work capturing a depth and breadth of knowledge of the field. Conveys and makes publicly accessible a sociotechnical approach to machine learning & "AI" to meet a critically important cultural moment. Immediately my go-to recommendation for a intro to critical AI reference.
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The book starts strong making valid points on the hype of AI and is well-supported.

However, I was put off by the implied racism that kept seeping in. Yes, datasets are biased and contain racist information against Black people. And yes, facial recognition systems have a bias against Black people. But implying it is white men trying to dominate the world with AI at the expense of all others without sound evidence, is also racist.

So, at times he book wants to turn the AI hype into a struggle of white men against Black and indigenous people, cherrypicking by focussing on Musk and venture capitalist Andreessen. Altman, Zuckerberg, and Amodei are often conveniently sidelined. 

This is unfortunate because most else of the book was solid. Though the ending was not too convincing: "stop using ChatGPT and fund libraries". 

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