The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies (De Gruyter Handbooks of Digital Transformation, 1)

by: Anthony Elliott (Editor)

Publisher: Walter de Gruyter

Edition: 1st

Publication Date: 2024/8/5

Language: English

Print Length: 312 pages

ISBN-10: 3110721252

ISBN-13: 9783110721256

Book Description

The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies examines the relationship of the social sciences to artificial intelligence, surveying the various convergences and divergences between science and technology studies on the one hand and identity transformations on the other. It provides representative coverage of all aspects of the AI revolution, from employment to education to military warfare, impacts on public policy and goveance and the future of ethics. How is AI currently transforming, how is it promising to transform in future social, economic, cultural and psychological processes? This handbook answers these questions by looking at recent developments in supercomputing, deep leaing and neural networks, including such topics as AI mobile technology, social robotics, big data and digital research. It focuses especially on mechanisms of identity by defining AI as a new context for self-exploration and social relations and analyzing phenomena such as race, ethnicity and gender politics in human-machine interfaces.

About the Author

The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies examines the relationship of the social sciences to artificial intelligence, surveying the various convergences and divergences between science and technology studies on the one hand and identity transformations on the other. It provides representative coverage of all aspects of the AI revolution, from employment to education to military warfare, impacts on public policy and goveance and the future of ethics. How is AI currently transforming, how is it promising to transform in future social, economic, cultural and psychological processes? This handbook answers these questions by looking at recent developments in supercomputing, deep leaing and neural networks, including such topics as AI mobile technology, social robotics, big data and digital research. It focuses especially on mechanisms of identity by defining AI as a new context for self-exploration and social relations and analyzing phenomena such as race, ethnicity and gender politics in human-machine interfaces.