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책 정보
· 분류 : 외국도서 > 인문/사회 > 사회과학 > 사회학
· ISBN : 9780367188252
· 쪽수 : 386쪽
· 출판일 : 2021-07-13
책 소개
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.
This handbook 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.
목차
Part I: Social Science Approaches to Artificial Intelligence 1. The Complex Systems of AI: Recent Trajectories of Social TheoryAnthony Elliott 2. Geographies of AI Thomas Birtchnell 3. Artificial Intelligence and Psychology J. Michael Innes and Ben W. Morrison 4. AI in the Age of Technoscience: On the Rise of Data-Driven AI and its Epistem-Ontological Foundations Jutta Weber and Bianca Prietl 5. Work, Employment and Unemployment After AI Ross Boyd 6. Affects After AI: Sociological Perspectives on Artificial Companionship Michaela Pfadenhauer and Tobias Lehmann 7. Anthropology, AI and Robotics Joffrey Becker 8. Ethics of Artificial Intelligence Vincent C. Muller 9. Human-Machine Interaction and Design Methods Naoko Abe Part II: Fields of Artificial Intelligence in Social Science Research 10. Management and Organisation in the Age of AI Roman Batko 11. Ambivalent Places of Politics: The Social Construction of Certainties in Automated Mobilities and Artificial Intelligence Sven Kesselring and Carolin Schonewolf 12. Smart Environments Maja de Neergaard and Malene Freudendal-Pedersen 13. Models of Law and Regulation for AI Nicolas Petit and Jerome De Cooman 14. Artificial Intelligence and Cyber-security Matteo E. Bonfanti, Myriam Dunn Cavelty, and Andreas Wenger 15. Lethal Autonomous Weapons Systems Frank Sauer 16. AI and Worldviews in the Age of Computational Power Massimo Durante 17. Technogenarians: Ageing and Robotic Care Eric L. Hsu 18. Big Data and Data Analytics Jo Bates 19. AI, Culture Industries and Entertainment Sam Han 20. AI, Robotics, Medicine and Health Sciences Norina Gasteiger and Elizabeth Broadbent 21. AI, Smart Borders and Migration Louis Everuss















