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OverviewThis book will be of interest to anyone who is concerned with the rise of algorithmic thinking and the way it permeates society. We are living in algorithmic times. From machine learning and artificial intelligence to blockchain or simpler news-feed filtering, automated systems can transform the social world in ways that are just starting to be imagined. Redefining these emergent technologies as the new systems of knowing, pioneering scholar David Beer examines the acute tensions they create and how they are changing what is known and what is knowable. Drawing on cases ranging from the art market and the smart home through to financial tech, AI patents and neural networks, he develops key concepts for understanding the framing, envisioning and implementation of algorithms. Full Product DetailsAuthor: David Beer (University of York)Publisher: Bristol University Press Imprint: Bristol University Press ISBN: 9781529212907ISBN 10: 1529212901 Pages: 152 Publication Date: 13 February 2024 Audience: Professional and scholarly , General/trade , Professional & Vocational , General Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of Contents1. Introduction: Tense Thinking and the Myths of an Algorithmic New Life 2. The Pursuit of Posthuman Security 3. Overstepping and the Navigation of the Perceived Limits of Algorithmic Thinking 4. (Dreaming of) Super Cognizers and the Stretching of the Known 5. The Presences of Nonknowledge 6. Conclusion: Algorithmic Thinking and the Will to AutomateReviews"""With attention to detail and a historical sensitivity, Beer weaves together a compelling story of the forces and frictions surrounding automation today. A treasure trove for anyone interested in the social theory of machine learning."" Taina Bucher, University of Oslo" ""With attention to detail and a historical sensitivity, Beer weaves together a compelling story of the forces and frictions surrounding automation today. A treasure trove for anyone interested in the social theory of machine learning."" Taina Bucher, University of Oslo Author InformationDavid Beer is Professor of Sociology at the University of York. Tab Content 6Author Website:Countries AvailableAll regions |
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