Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can’t be fixed. Instead of helping to address our current crises, AI causes divisions that limit people’s life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI’s deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right. Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic optimisation. He sets out an anti-fascist approach to AI that replaces exclusions with caring, proposes people’s councils as a way to restructure AI through mutual aid and outlines new mechanisms that would adapt to changing times by supporting collective freedom. Academically rigorous, yet accessible to a socially engaged readership, this …
Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can’t be fixed. Instead of helping to address our current crises, AI causes divisions that limit people’s life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI’s deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right. Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic optimisation. He sets out an anti-fascist approach to AI that replaces exclusions with caring, proposes people’s councils as a way to restructure AI through mutual aid and outlines new mechanisms that would adapt to changing times by supporting collective freedom. Academically rigorous, yet accessible to a socially engaged readership, this unique book will be of interest to all who wish to challenge the social logic of AI by reasserting the importance of the common good.
Interesting, informative but the solutions feels like it's aging out of reach.
3 stars
Well written , Informational and provided helpful insight into AIs ability to negativity impact society.
That said the book is not aging well as things have changed greatly in the AI world in the past 2 years. Between the quickly shifting sands of both politics and technology, the solutions described in the book seem wonderful but quickly receding out of reach of US society.
This is really a long-form essay. It's very well-structured and extremely densely packed with succinct points about sociotechnological issues. In many instances, it expanded my horizon and made me question my own preoccupations regarding AI and even science at large.
It's great; it gave me perspective and I learned about so many new interesting concepts that made a lot of sense in the context of AI. Off the top of my head, what stuck with me most were the ideas of "bureaucratic thoughtlessness", "states of exception", and of course, "necropolitics". I found that these are really good ways to think about and analyse AI. It goes so much deeper than the regular mainstream discourse about "AI ethics" and the like – the book is not afraid to put the hard questions on the table.
That said, I have two points of minor contention:
First, I expected the second half of …
This is really a long-form essay. It's very well-structured and extremely densely packed with succinct points about sociotechnological issues. In many instances, it expanded my horizon and made me question my own preoccupations regarding AI and even science at large.
It's great; it gave me perspective and I learned about so many new interesting concepts that made a lot of sense in the context of AI. Off the top of my head, what stuck with me most were the ideas of "bureaucratic thoughtlessness", "states of exception", and of course, "necropolitics". I found that these are really good ways to think about and analyse AI. It goes so much deeper than the regular mainstream discourse about "AI ethics" and the like – the book is not afraid to put the hard questions on the table.
That said, I have two points of minor contention:
First, I expected the second half of the book to be about "an antifascist approach to AI", i.e. concrete calls to action that directly relate to AI as a contemporary phenomenon. In a sense, it was about that – but it was just a little too abstract for me and the sections on worker's and people's councils felt somewhat disconnected from the rest. I really would have loved to see a more elaborate version of the very last subchapter.
Second, this is not a book for AI enthusiasts or for people who still need convincing that there's something fundamentally wrong with AI today. That may not have been the goal here, but it makes it a little difficult to become a "I recommend this to absolutely everyone" kind of book. In general, it's not an easy read for someone completely unfamiliar with the groundwork in this area.
I annotated a ton of quotes already here on goodreads and they give you a great idea of why I loved this book so much. In short: It gives a great overview of all the issues with "AI" and how/why we should resist it in a extremely well-argued & researched package. And of course in early 2024 in the midst of the LLM craze this has just become more relevant!
