Resisting AI

An Anti-Fascist Approach to Artificial Intelligence

English language

Published March 10, 2022 by Bristol University Press.

ISBN:
978-1-5292-1352-2
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4 stars (1 review)

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 …

2 editions

A rich critique of the very core of modern AI

4 stars

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 …