Imagining Ai : How the World Sees Intelligent Machines

AI is now a global phenomenon. Yet Hollywood narratives dominate perceptions of AI in the English-speaking West and beyond, and much of the technology itself is shaped by a disproportionately white, male, US-based elite. However, different cultures have been imagining intelligent machines since long before we could build them, in visions that vary greatly across religious, philosophical, literary and cinematic traditions. This book aims to spotlight these alternative visions.

Imagining AI draws attention to the range and variety of visions of a future with intelligent machines and their potential significance for the research, regulation, and implementation of AI. The book is structured geographically, with each chapter presenting insights into how a specific region or culture imagines intelligent machines. The contributors, leading experts from academia and the arts, explore how the encounters between local narratives, digital technologies, and mainstream Western narratives create new imaginaries and insights in different contexts across the globe. The narratives they analyse range from ancient philosophy to contemporary science fiction, and visual art to policy discourse.

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.

Stephen J. Cave,Kanta Dihal

Stephen Cave is Director of the Leverhulme Centre for the Future of Intelligence at the University of Cambridge. His research focuses on philosophy and ethics of technology, particularly AI, robotics and life-extension. He is the author of Immortality (Crown, 2012), a New Scientist book of the year, and Should We Want To Live Forever (Routledge, 2023); and co-editor of AI Narratives (Oxford University Press, 2020) and Feminist AI (Oxford University Press, 2023). He writes widely about philosophy, technology and society, including for the Guardian and Atlantic. He also advises governments around the world, and has served as a British diplomat.

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.