We are living in algorithmic times.
From machine learning and artificial intelligence to blockchain or simpler newsfeed 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.
This book will be of interest to anyone who is concerned with the rise of algorithmic thinking and the way it permeates society.
Rezensionen / Stimmen
"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
Auflage
Sprache
Verlagsort
Zielgruppe
Illustrationen
1 s/w Abbildung
1 Illustrations, black and white
Maße
Höhe: 161 mm
Breite: 241 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-5292-1289-1 (9781529212891)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
David Beer is Professor of Sociology at the University of York.
Autor*in
University of York
1. 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 Automate
