An edition of Anti-Fascist AI (2022)

Resisting AI

An Anti-fascist Approach to Artificial Intelligence

  • 7 Want to read
  • 1 Have read
Locate

My Reading Lists:

Create a new list


  • 7 Want to read
  • 1 Have read

Buy this book

Last edited by Ivan Silvestre
September 14, 2023 | History
An edition of Anti-Fascist AI (2022)

Resisting AI

An Anti-fascist Approach to Artificial Intelligence

  • 7 Want to read
  • 1 Have read

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.

Publish Date
Language
English
Pages
190

Buy this book

Edition Availability
Cover of: Resisting AI
Resisting AI: An Anti-fascist Approach to Artificial Intelligence
2022, Bristol University Press
in English
Cover of: Resisting AI
Resisting AI: An Anti-Fascist Approach to Artificial Intelligence
2022, Bristol University Press
in English
Cover of: Resisting AI
Resisting AI: An Anti-Fascist Approach to Artificial Intelligence
2022, Bristol University Press
in English

Add another edition?

Book Details


Edition Identifiers

Open Library
OL34169461M
ISBN 10
1529213509
ISBN 13
9781529213508

Work Identifiers

Work ID
OL25477897W

Community Reviews (0)

No community reviews have been submitted for this work.

Lists

History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
September 14, 2023 Edited by Ivan Silvestre Edited without comment.
April 7, 2023 Edited by ImportBot import existing book
September 30, 2021 Created by ImportBot Imported from Better World Books record