In this Book

Resisting AI: An Anti-fascist Approach to Artificial Intelligence

Book
2022
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summary

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.

Table of Contents

Cover

Title Page, Epigraph, Copyright, Dedication

pp. i-vi

Table of contents

pp. vii

Acknowledgments

pp. viii

Introduction

pp. 1-9

1 Operations of AI

pp. 10-26

2 Collateral Damage

pp. 27-46

3 AI Violence

pp. 47-71

4 Necropolitics

pp. 72-103

5 Post-machinic Learning

pp. 104-118

6 People's Councils

pp. 119-134

7 Anti-fascist AI

pp. 135-148

References

pp. 149-176

Index

pp. 177-182

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