The Routledge Social Science Handbook of AI

By: Anthony Elliott (Editor)

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Paperback | 9 January 2023 | Edition Number 1

At a Glance

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388 Pages

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24.5 x 17.4 x 2.8

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The Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution - from supercomputers and social media to advanced automation and robotics - is transforming society, culture, politics and economy.

The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution.

The Handbook is exceptionally wide-ranging in span, covering topics all the way from AI technologies in everyday life to single-purpose robots throughout home and work life, and from the mainstreaming of human-machine interfaces to the latest advances in AI, such as the ability to mimic (and improve on) many aspects of human brain function.

A unique integration of social science on the one hand and new technologies of artificial intelligence on the other, this Handbook offers readers new ways of understanding the rise of AI and its associated global transformations. Written in a clear and direct style, the Handbook will appeal to a wide undergraduate audience.

Industry Reviews

"As expected from a handbook with the goal of summarizing current debates, questions are posed and controversies noted more often than answers are offered in this collection of 21 essays. However, surveying so many different angles on artificial intelligence (AI) allows some insight-inducing themes to emerge. AI and machine learning (ML) are everywhere, from a cellphone's virtual assistant to tech support chatbots, including in the machines that decipher handwritten addresses for the US Postal Service. Many AI systems are assisted by small armies of humans who fill in when the software fails. Such technology remains invisible to most people yet shapes their understandings of the world and themselves. People think and categorize, work, play, and govern themselves differently because of AI-they adopt algorithmic thinking, see new value in inferential reasoning because of big data, and treat anthropomorphic robots like persons. Sometimes these changes are obvious or can be articulated, but some seem to influence human experience and expectations of the world itself, as in the debatable but widespread idea that minds are computers, and computers are (so far fairly limited) minds. Many will use this book, though specialists are likely to be most interested. Summing Up: Highly recommended. Lower- and upper-division undergraduates. Graduate students and faculty. General readers."

Matthew J. Moore, Professor of Political Science, California Polytechnic State University, San Luis Obispo, USA

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