Artificial Intelligence and Its Discontents
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On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment,
and implementation across the globe? This book answers this question by
drawing on a range of critical approaches from the social sciences and humanities,
including posthumanism, ethics and human values, surveillance studies, Black
feminism, and other strategies for social and political resistance. The authors
analyse timely topics, including bias and language processing, responsibility
and machine learning, COVID-19 and AI in health technologies, bio-AI and
nanotechnology, digital…mehr

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Produktbeschreibung
On what basis can we challenge Artificial Intelligence (AI) - its infusion, investment,

and implementation across the globe? This book answers this question by

drawing on a range of critical approaches from the social sciences and humanities,

including posthumanism, ethics and human values, surveillance studies, Black

feminism, and other strategies for social and political resistance. The authors

analyse timely topics, including bias and language processing, responsibility

and machine learning, COVID-19 and AI in health technologies, bio-AI and

nanotechnology, digital ethics, AI and the gig economy, representations of AI in

literature and culture, and many more. This book is for those who are currently

working in the field of AI critique and disruption as well as in AI development and

programming. It is also for those who want to learn more about how to doubt,

question, challenge, reject, reform and otherwise reprise AI as it been practiced

and promoted.

Autorenporträt
Ariane Hanemaayer is Associate Professor at Brandon University and Visiting Scholar at the Centre for Research in Arts, Social Sciences and Humanities at the University of Cambridge. She is also Author of The Impossible Clinic: A critical sociology of evidence based medicine.
Rezensionen
"The book offers a number of useful critiques of AI as it interacts with increasing numbers of Internet users. Readers should take the Marxist perspectives with a grain of salt." (G. R. Mayforth, Computing Reviews, October 19, 2022)
"All of the chapters are well written and the editorial process was clearly very good. ... I found four essays particularly noteworthy ... . If you are limited on time, these core essays are must-reads. I found this book interesting because it disclosed to me what others outside the computational science community see." (Anthony J. Duben, Computing Reviews, July 20, 2022)