
Imagining AI: How the World Sees Intelligent Machines
Author(s): Stephen J. Cave (Editor), Kanta Dihal
- Publisher: OUP Oxford
- Publication Date: 28 Aug. 2025
- Language: English
- Print length: 448 pages
- ISBN-10: 0198959559
- ISBN-13: 9780198959557
Book Description
The book sheds new light on some of the most important themes in AI ethics, from the differences between Chinese and American visions of AI, to digital neo-colonialism. It is an essential work for anyone wishing to understand how different cultural contexts interplay with the most significant technology of our time.
Editorial Reviews
Review
― Paul March-Russell, Editor, Foundation: The International Review of Science Fiction
Using AI for human flourishing requires better understanding of the global conditions in which the technologies might be deployed and the social values that can emerge from varying cultural contexts. Imagining AI ably brings together scholars, artists, and more into a momentous contribution to scholarship on AI and society.
―
Robert M Geraci, author of Futures of Artificial Intelligence: Perspectives from India and the U.S.Stories are important indicators of the future. This timely contribution provides a rich basis from which to understand the long global narrative history of AI beyond the anglophone west. This powerful book will be of interest to scholars and publics alike when envisioning a future with AI across cultures.
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An invaluable resource not only for novice and veteran AI scholars but also for students and experts in the humanities, social sciences, and psychology… Many libraries’ collections could benefit from a seminal work like
Imagining AI: How the World Sees Intelligent Machines, an essential contribution to a thriving interdisciplinary conversation about AI and intelligent machines… AI experts and scholars will appreciate the wealth of perspectives and lenses that come with global AI narratives ― Critical Humanities 2The book is indeed a successful attempt to promote the pluralism of the imaginaries of AI, and it has shown how the notion of intelligent machine is often bound up with the particularities of historical, social, and cultural contexts. ―
ManhâTung Ho, AI & SocietyAbout the Author
Kanta Dihal is Lecturer in Science Communication at Imperial College London, where she is Course Director of the MSc in Science Communication, and Associate Fellow of the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. Her research focuses on science narratives, particularly science fiction, and how they shape public perceptions and scientific development. She is co-editor of the books
AI Narratives (2020) and Imagining AI (2023) and has advised international governmental organizations and NGOs. She has a DPhil from Oxford on the communication of quantum physics.
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