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JSTOR_on1336402383 |
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20231005004200.0 |
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220716t20222022enk o 000 0 eng d |
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|a EBLCP
|b eng
|e rda
|c EBLCP
|d JSTOR
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|d OCLCQ
|d OCLCO
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|a 9781529213522
|q (electronic bk.)
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|a 1529213525
|q electronic book
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|a (OCoLC)1336402383
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|a 22573/ctv2rbn3c2
|b JSTOR
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|a Q334.7
|b .M37 2022
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|a 303.4834
|2 23/eng/20220718
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|a UAMI
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|a McQuillan, Dan
|q (Daniel Mark Thomas),
|e author.
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|a Resisting AI :
|b an anti-fascist approach to artificial intelligence /
|c Dan McQuillan.
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|a Bristol :
|b Bristol University Press,
|c 2022.
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|c Ã2022
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|a 1 online resource
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Introduction -- 1. Operations of AI -- 2. Collateral Damage -- 3. AI Violence -- 4. Necropolitics -- 5. Post-machinic Learning -- 6. People's Councils -- 7. Anti-fascist AI.
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|a 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
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|a 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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|a Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can't be fixed. Calling for the restructuring of AI, Dan McQuillan sets out an anti-fascist approach that replaces exclusions with caring and outlines new mechanisms that support collective freedom.
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|a Description based on online resource; title from digital title page (viewed on August 02, 2022).
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|a JSTOR
|b Books at JSTOR All Purchased
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|a JSTOR
|b Books at JSTOR Demand Driven Acquisitions (DDA)
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|a Artificial intelligence
|x Social aspects.
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|a Intelligence artificielle
|x Aspect social.
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|a SOCIAL SCIENCE / Technology Studies.
|2 bisacsh
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|a Artificial intelligence
|x Social aspects
|2 fast
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0 |
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|i Print version:
|a McQuillan, Dan (Daniel Mark Thomas).
|t Resisting AI.
|d Bristol : Bristol University Press, 2022
|z 9781529213492
|w (OCoLC)1328026349
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856 |
4 |
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|u https://jstor.uam.elogim.com/stable/10.2307/j.ctv2rcnp21
|z Texto completo
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938 |
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|a De Gruyter
|b DEGR
|n 9781529213522
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|a Askews and Holts Library Services
|b ASKH
|n AH39019899
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|a YBP Library Services
|b YANK
|n 303025055
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|a Project MUSE
|b MUSE
|n musev2_101758
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|a ProQuest Ebook Central
|b EBLB
|n EBL7042128
|
938 |
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|a EBSCOhost
|b EBSC
|n 3331930
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994 |
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|a 92
|b IZTAP
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