Overview
Offers an empirically-based discussion of machine learning and artificial intelligence technologies in society
Provides new histories of machine learning and artificial intelligence rooted in humanities and social sciences approaches
Places technologies in conversation with central theories and topics in the humanities and social sciences
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Table of contents (9 chapters)
Keywords
About this book
Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Editors and Affiliations
About the editors
Jonathan Roberge is an Associate Professor at the Institut National de la Recherche Scientifique in Montreal, Canada. He funded the Nenic Lab as part of the Canada Research Chair in Digital Culture he has held since 2012. His most recent edited volume is Algorithmic Cultures (2016).
Michael Castelle is an Assistant Professor at the University of Warwick’s Centre for Interdisciplinary Methodologies, UK and a Turing Fellow at the Alan Turing Institute, UK. He has a Ph.D. in Sociology from the University of Chicago and a Sc.B. in Computer Science from Brown University.
Bibliographic Information
Book Title: The Cultural Life of Machine Learning
Book Subtitle: An Incursion into Critical AI Studies
Editors: Jonathan Roberge, Michael Castelle
DOI: https://doi.org/10.1007/978-3-030-56286-1
Publisher: Palgrave Macmillan Cham
eBook Packages: Literature, Cultural and Media Studies, Literature, Cultural and Media Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-56285-4Published: 01 December 2020
Softcover ISBN: 978-3-030-56288-5Published: 02 December 2021
eBook ISBN: 978-3-030-56286-1Published: 30 November 2020
Edition Number: 1
Number of Pages: XV, 289
Number of Illustrations: 3 b/w illustrations, 7 illustrations in colour
Topics: Culture and Technology, Media and Communication, Science and Technology Studies, Digital/New Media, Cultural Studies