The Routledge social science handbook of AI
著者
書誌事項
The Routledge social science handbook of AI
（Routledge international handbooks）
Routledge, 2022 [i.e. 2021]
- : hbk
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Part I: Social Science Approaches to Artificial Intelligence 1. The Complex Systems of AI: Recent Trajectories of Social Theory 2. Geographies of AI 3. Artificial Intelligence and Psychology 4. AI in the Age of Technoscience: On the Rise of Data-Driven AI and its Epistem-Ontological Foundations 5. Work, Employment and Unemployment After AI 6. Affects After AI: Sociological Perspectives on Artificial Companionship 7. Anthropology, AI and Robotics 8. Ethics of Artificial Intelligence 9. Human-Machine Interaction and Design Methods Part II: Fields of Artificial Intelligence in Social Science Research 10. Management and Organisation in the Age of AI 11. Ambivalent Places of Politics: The Social Construction of Certainties in Automated Mobilities and Artificial Intelligence 12. Smart Environments 13. Models of Law and Regulation for AI 14. Artificial Intelligence and Cyber-security 15. Lethal Autonomous Weapons Systems 16. AI and Worldviews in the Age of Computational Power 17. Technogenarians: Ageing and Robotic Care 18. Big Data and Data Analytics 19. AI, Culture Industries and Entertainment 20. AI, Robotics, Medicine and Health Sciences 21. AI, Smart Borders and Migration
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