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Resisting AI: An Anti-fascist Approach to Artificial Intelligence

✍ Scribed by Dan McQuillan


Publisher
Bristol University Press
Year
2022
Tongue
English
Leaves
192
Edition
1
Category
Library

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✦ Synopsis


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


Front Cover
Half Title
Epigraph
Resisting Ai: An Anti- fascist Approach to Artificial Intelligence
Copyright information
Dedication
Table of contents
Acknowledgments
Introduction
What is Ai
Resisting AI
Anti-fascist approach
From machine learning to mutual aid
1 Operations of AI
Machine learning
Data
Optimization
Neural networks
Transformations
Backpropagation
Infrastructure
Crowdsourcing
2 Collateral Damage
Brittleness
Fixes
Injustice
Solutionism
3 AI Violence
Scientism
Precarity
Speculation
System risk
Administrative violence
Racialization
Genetic determinism
Race science
4 Necropolitics
Scarcity
States of exception
Carceral state
Necropolitics
Eugenics
Fascism
Climate crisis
5 Post-machinic Learning
Feminist science
Post-normal Ai
New materialism
Post-machinic learning
Matters of care
6 People’s Councils
Solidarity
Workers’ councils
People’s councils
Luddism
Anti-fascism
7 Anti-fascist AI
Anti-fascist AI
Structural renewal
Commoning
A new apparatus
References
Index
Back Cover


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