Chapter: Big data and data analytics

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Home > The Routledge Social Science Handbook of AI > Big data and data analytics

The Routledge Social Science Handbook of AI |

Anthony Elliott

Routledge

Big data and data analytics

Chapter Info

Authors

Jo Bates

ARI Id

1665830851110_13879126

Access

Not Available Free

Pages

281-294

DOI

10.4324/9780429198533-20

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Chapters/Headings	Author(s)	Pages	Info
Social science approaches to artificial intelligence		1-154
The complex systems of AI	Anthony Elliott	3-16
Geographies of AI	Thomas Birtchnell	17-29
Artificial intelligence and psychology	J. Michael Innes; Ben W. Morrison	30-57
AI in the age of technoscience	Jutta Weber; Bianca Prietl	58-73
Work, employment and unemployment after AI 1	Ross Boyd	74-90
Affects after AI	Michaela Pfadenhauer; Tobias Lehmann	91-106
Anthropology, AI and robotics	Joffrey Becker	107-121
Ethics of artificial intelligence 1	Vincent C. Müller	122-137
Human–machine interaction and design methods	Naoko Abe	138-154
Fields of artificial intelligence in social science research		155-356
Management and organisation in the age of AI	Roman Batko	157-171
Ambivalent places of politics	Sven Kesselring; Carolin Schönewolf	172-187
Smart environments	Maja De Neergaard; Malene Freudendal-Pedersen	188-198
Models of law and regulation for AI	Nicolas Petit; Jerome De Cooman	199-221
Artificial intelligence and cyber-security	Matteo E. Bonfanti; Myriam Dunn Cavelty; Andreas Wenger	222-236
Lethal autonomous weapons systems	Frank Sauer	237-250
AI and worldviews in the age of computational power	Massimo Durante	251-265
Technogenarians	Eric L. Hsu	266-280
Big data and data analytics	Jo Bates	281-294
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