The De Gruyter Handbook of Artificial Intelligence, Identity and Technology Studies provides a comprehensive and accessible guide to the key issues, concepts, theories and studies on how artificial intelligence is transforming identity, selfhood and the wider parameters of our technological culture. Breaking new ground through integrating the social science of technology with the latest developments in AI, computer science and machine learning, the Handbook focuses on the emotional side of people’s relationships with technology - from computers and social media to chatbots and smart algorithms.
This Handbook covers a wide array of phenomena associated with AI, and provides the most up-to-date coverage of developments in supercomputing, deep learning, neural networks and much else. The volume addresses topics where AI currently transforms, or in the future promises to transform, social, economic, cultural and psychological processes and mechanisms of identity. These include:
AI as a new context for self-exploration, social encounters and social relations
AI mobile technology including apps and bots, embedded within operating systems, impacting social networking
Sociable robotics throughout the home and impacting lifestyle change
AI technologies, governance, and ethics
AI conversations, talk and creativity
Advances in machine learning and productivity of the self
Advances in AI, big data and digital research methods
Advances in machine cognition systems and identity theft
Race, ethnicity and gender politics in human-machine interfaces
Automated futures, advanced robotics and self-driving vehicles in the context of smart cities
Advances in AI, such as the current phase of deep learning, and public policy, transparency, and governance
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 the social sciences to artificial intelligence, and who surveys various convergences and divergences between science and technology studies on the one hand and identity transformations on the other.
Written in a clear and direct style appeal, this Handbook appeals to a wide audience. The extensive references and sources will direct students to areas of further study.
