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Listening in: How Audio Surveillance Became Artificial Intelligence

Contributor(s): Heys, Toby (Author), Mandal, Anthony (Editor), Jackson, David (Author), Kidd, Jenny (Editor), Courneya, Marsha (Author)

ISBN: 9781350340398

Publisher: Bloomsbury Academic

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Pub Date: January 22, 2026

Lexile Code: 0000

Features: Price on Product

Target Age Group: NA to NA

Physical Info: 0.69" H x 9.16" L x 6.32" W ( 0.76 lbs) 296 pages

Series: Bloomsbury Studies in Digital Cultures

Descriptions, Reviews, etc.

Description: Using a series of colourful case studies, this book traces a short history of covert listening and audio surveillance in the electronic age and examines the ways that it has shaped the development of artificial intelligence

Brief description: Toby Heys is a professor of digital arts at the School of Digital Arts (SODA) at Manchester Metropolitan University and co-founder of the AUDINT sonic research unit.

Review Quotes:

"These are among the many episodes in a book spanning nearly a century of transformations in who listens, how they listen, and what listening has become. The cumulative effect is a striking portrait of a world in which the drive to capture every utterance ... has become so deeply embedded in our technological infrastructure as to be practically imperceptible. That, of course, is the point." --Wire

"While this book presents a totalising account of how we came to be surveilled subjects, it retains a political imagination for the ways we can use these technologies to open our ears and listen back." --Lawrence Abu Hamdan, Director of Earshot.ngo

"Listening In isn't just a historical account - it's a provocation. A kind of sonic archaeology that traces how the act of listening has evolved from a tool of espionage to a quiet force shaping the architectures of artificial intelligence. What begins with Cold War bugs ends in our bedrooms, in baby monitors, smart assistants, and even the micro-movements of our necks and jaws as we think. Along the way, the book asks something deeper: what happens when the most intimate parts of our lives - our voices, our silences, our grief - become training data? Structured like a mixtape, it doesn't just explain the mechanics of surveillance; it immerses you in them. It's haunting, and strangely personal. By the end, you may find yourself asking not what AI is becoming but what we've already become by letting it listen." --Lance Weiler, Associate Professor of Professional Practice, Founding Member & Director, Columbia University School of the Arts' Digital Storytelling Lab

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