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.

part I|154 pages

Social science approaches to artificial intelligence

chapter 1|14 pages

The complex systems of AI

Recent trajectories of social theory
ByAnthony Elliott

chapter 2|13 pages

Geographies of AI

ByThomas Birtchnell

chapter 3|28 pages

Artificial intelligence and psychology

ByJ. Michael Innes, Ben W. Morrison

chapter 4|16 pages

AI in the age of technoscience

On the rise of data-driven AI and its epistem-ontological foundations
ByJutta Weber, Bianca Prietl

chapter 5|17 pages

Work, employment and unemployment after AI 1

ByRoss Boyd

chapter 6|16 pages

Affects after AI

Sociological perspectives on artificial companionship
ByMichaela Pfadenhauer, Tobias Lehmann

chapter 7|15 pages

Anthropology, AI and robotics

ByJoffrey Becker

chapter 8|16 pages

Ethics of artificial intelligence 1

ByVincent C. Müller

chapter 9|17 pages

Human–machine interaction and design methods

ByNaoko Abe

part II|202 pages

Fields of artificial intelligence in social science research

chapter 10|15 pages

Management and organisation in the age of AI

ByRoman Batko

chapter 11|16 pages

Ambivalent places of politics

The social construction of certainties in automated mobilities and artificial intelligence
BySven Kesselring, Carolin Schönewolf

chapter 12|11 pages

Smart environments

ByMaja De Neergaard, Malene Freudendal-Pedersen

chapter 13|23 pages

Models of law and regulation for AI

ByNicolas Petit, Jerome De Cooman

chapter 14|15 pages

Artificial intelligence and cyber-security

ByMatteo E. Bonfanti, Myriam Dunn Cavelty, Andreas Wenger

chapter 15|14 pages

Lethal autonomous weapons systems

ByFrank Sauer

chapter 16|15 pages

AI and worldviews in the age of computational power

ByMassimo Durante

chapter 17|15 pages


Ageing and robotic care 1
ByEric L. Hsu

chapter 18|14 pages

Big data and data analytics

ByJo Bates

chapter 19|18 pages

AI, culture industries and entertainment

BySam Han

chapter 20|26 pages

AI, robotics, medicine and health sciences

ByNorina Gasteiger, Elizabeth Broadbent

chapter 21|18 pages

AI, smart borders and migration 1

ByLouis Everuss