The Cultural Life of Machine Learning

An Incursion into Critical AI Studies
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This book brings together the work of historians and sociologists with perspectives from media studies, communication studies, cultural studies, and information studies to address the origins, practices, and possible futures of contemporary machine learning. From its foundations in 1950s and 1960s pattern recognition and neural network research to the modern-day social and technological dramas of DeepMind’s AlphaGo, predictive political forecasting, and the governmentality of extractive logistics, machine learning has become controversial precisely because of its increased embeddedness and agency in our everyday lives. How can we disentangle the history of machine learning from conventional histories of artificial intelligence? How can machinic agents’ capacity for novelty be theorized? Can reform initiatives for fairness and equity in AI and machine learning be realized, or are they doomed to cooptation and failure? And just what kind of “learning” does machine learning truly represent? We empirically address these questions and more to provide a baseline for future research.Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via

Mehr Informationen
ISBN 9783030562885
Ausgabe 1st ed. 2021
Erscheinungsdatum 02.12.2021
Umfang 289 Seiten
Genre Soziologie/Sonstiges
Format Taschenbuch
Verlag Springer International Publishing
Herausgegeben von Jonathan Roberge, Michael Castelle
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