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The cultural life of machine learning : an incursion into critical AI studies

Contributor(s): Material type: TextTextPublication details: Switzerland : Palgrave Macmillan, ©2021Description: xv, 289 p. : col. ill. ; 21 cmISBN:
  • 9783030562885
Subject(s): DDC classification:
  • 303.483 ROB-C
Contents:
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. AlphaGo's 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
Summary: 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 DeepMinds 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Books Books IIITD General Stacks Social Science 303.483 ROB-C (Browse shelf(Opens below)) Checked out 15/12/2025 013356
Total holds: 0

Includes index

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. AlphaGo's 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

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 DeepMinds 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.

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