AI Narratives: A History of Imaginative Thinking about Intelligent Machines

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Stephen Cave (Director, Leverhulme Centre for the Future of Intelligence, Director, Leverhulme Centre for the Future of Intelligence, University of Cambridge) Kanta Dihal (Research Associate, Leverhulme Centre for the Future of Intelligence, Research Associate, Leverhulme Centre for the Future of Intelligence, University of Cambridge)

AI Narratives

A History of Imaginative Thinking about Intelligent Machines

Stephen Cave (Director, Leverhulme Centre for the Future of Intelligence, Director, Leverhulme Centre for the Future of Intelligence, University of Cambridge), Kanta Dihal (Research Associate, Leverhulme Centre for the Future of Intelligence, Research Associate, Leverhulme Centre for the Future of Intelligence, University of Cambridge), Sarah Dillon (Lecturer in Literature and Film, Faculty of English, Lecturer in Literature and Film, Faculty of English, University of Cambridge)

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English

Oxford University Press
28 February 2020

Impact of science & technology on society; Physics; Artificial intelligence; Machine learning; Human-computer interaction

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.

Edited by: Stephen Cave (Director Leverhulme Centre for the Future of Intelligence Director Leverhulme Centre for the Future of Intelligence University of Cambridge), Kanta Dihal (Research Associate, Leverhulme Centre for the Future of Intelligence, Research Associate, Leverhulme Centre for the Future of Intelligence, University of Cambridge), Sarah Dillon (Lecturer in Literature and Film, Faculty of English, Lecturer in Literature and Film, Faculty of English, University of Cambridge)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 223mm, Width: 144mm, Spine: 29mm
Weight: 1g
ISBN: 9780198846666
ISBN 10: 0198846665
Pages: 448
Publication Date: 28 February 2020
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Stephen Cave Dr Stephen Cave is Director of the Leverhulme Centre for the Future of Intelligence, Senior Research Associate in the Faculty of Philosophy, and Fellow of Hughes Hall, all at the University of Cambridge. After earning a PhD in philosophy from Cambridge, he joined the British Foreign Office, where he spent ten years as a policy advisor and diplomat, before returning to academia. His research interests currently focus on the nature, portrayal and governance of AI. Kanta Dihal Dr Kanta Dihal is a postdoctoral researcher at the Leverhulme Centre for the Future of Intelligence, University of Cambridge. She is the Principal Investigator on the Global AI Narratives project, and the Project Development Lead on Decolonizing AI. In her research, she explores how fictional and nonfictional stories shape the development and public understanding of artificial intelligence. Kanta's work intersects the fields of science communication, literature and science, and science fiction. She is currently working on two monographs: Stories in Superposition, based on her DPhil thesis, and AI: A Mythology, with Stephen Cave. Sarah Dillon Dr Sarah Dillon is University Lecturer in Literature and Film in the Faculty of English, University of Cambridge. Her books include The Palimpsest: Literature, Criticism, Theory (2007), Deconstruction, Feminism, Film (2018), and Listen: Narrative Evidence and Public Reasoning (2020, co-authored with Claire Craig). She is the General Editor of the series Gylphi Contemporary Writers: Critical Essays, and editor of two volumes in the series: David Mitchell: Critical Essays (2011), and Maggie Gee: Critical Essays (2015, co-ed). Dr Dillon was a 2013 BBC Radio 3/Arts and Humanities Research Council New Generation Thinker and regularly broadcasts on BBC Radio 3 and BBC Radio 4.

Reviews for AI Narratives: A History of Imaginative Thinking about Intelligent Machines

Drawing on diverse perspectives, this compelling collection shows how AI narratives have prompted critical reflection on human-machine relations, moving beyond the reductive dichotomy that pits visions of happy humans with AI-slaves against visions of defeated humans ruled by machines. By invoking such concepts as equality, rights and social justice, the essays investigate what it means to be human in an increasingly automated world. * Audrey Borowski, Times Literary Supplement * a powerful account of AI imaginaries * Stephen Hughes, Public Understanding of Science Journal * AI Narratives triumphantly paves the way for future work in AI humanities. Individual chapters-all balancing historical context with sharp analysis-would make valuable additions to relevant module syllabi, and the volume would be of certain advantage to any reader seeking a fresh and substantiated approach to AI scholarship. This is only a first glance into this kaleidoscopic field of study, but it positions future researchers well for imaginative thinking about their own perceptions. * Dr Leah Henrickson, Reviews in History *