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The cultural life of machine learning 1st ed.

Author
  • Roberge, Jonathan
Additional Author(s)
  • Castelle, Michael
Publisher
Cham, Switzerland : Springer International Publishing, 2021
Language
English
ISBN
9783030562861
Series
Subject(s)
  • ARTIFICIAL INTELLIGENCE
  • MACHINE LEARNING
Notes
. .
Abstract
This book brings together the work of sociologists and historians along 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? Contributors empirically address these questions and more to provide a baseline for future research.
Physical Dimension
Number of Page(s)
1 online resource (xv, 289 p.)
Dimension
-
Other Desc.
ill.
Summary / Review / Table of Content
1. Toward an End-to-End Sociology of 21st-Century Machine Learning --
2. Mechanized Significance and Machine Learning: Why it Became Thinkable and Preferable to Teach Machines to Judge the World --
3. What Kind of Learning Is Machine Learning? --
4. The Other Cambridge Analytics: Early "Artificial Intelligence" in American Political Science --
5. Machinic Encounters: A Relational Approach to the Sociology of AI --
6. AlphaGos Deep Play: Technological Breakthrough as Social Drama --
7. Adversariality in Machine Learning Systems: On Neural Networks and the Limits of Knowledge --
8. Planetary Intelligence --
9. Critical Perspectives on Governance Mechanisms for AI/ML Systems.
Exemplar(s)
# Accession No. Call Number Location Status
1.00724/21303.4834 Rob COnline !Available

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