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.
About the Author: Anthony Elliott is Research Professor of Sociology and Dean of External Engagement at the University of South Australia, where he is based in the External Engagement and Strategic Projects Portfolio in Chancellery. He is also Executive Director of the Jean Monnet Centre of Excellence and Network of Digital Transformation at UniSA. He is Super-Global Professor of Sociology (Visiting) at Keio University, Japan, and Visiting Professor of Sociology at UCD, Ireland.
Professor Elliott writes about identity, society, globalisation and the digital revolution. His research has had a lasting impact upon social theory and sociology worldwide. At present, his research on social theory focuses on artificial intelligence, Industry 4.0, advanced robotics and accelerating automation in the context of global transformations. He is the author and editor of over 40 books, which have been translated or are forthcoming in over 17 languages.
