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• Title:Revolutionary mathematics : artificial intelligence, statistics and the logic of capitalism / Justin Joque.
  
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• Variant Title:Artificial intelligence, statistics and the logic of capitalism
  
• Author/Creator:Joque, Justin, 1984- author.
  
• Published/Created:London ; New York : Verso Books, 2022.
  ©2022
  

• Holdings

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  • Location:WOODWARD LIBRARY Great ReadsWhere is this?
    
  • Call Number: QA10.7 .J67 2022
    
  • Number of Items:1
    
  • Status:c.1 Missing - 04-07-2024
    

   
• Library of Congress Subjects:Mathematics--Social aspects.
  Mathematics--Political aspects.
  Artificial intelligence--Mathematics.
  Mathematical statistics.
  Probabilities.
  Computer algorithms.
  
• Medical Subjects: Probability.
  Algorithms.
  
• Description:viii, 232 pages ; 21 cm
  
• Summary:Our finances, politics, media, opportunities, information, shopping and knowledge production are mediated through algorithms and their statistical approaches to knowledge; increasingly, these methods form the organizational backbone of contemporary capitalism. Revolutionary Mathematics traces the revolution in statistics and probability that has quietly underwritten the explosion of machine learning, big data and predictive algorithms that now decide many aspects of our lives. Exploring shifts in the philosophical understanding of probability in the late twentieth century, Joque shows how this was not merely a technical change but a wholesale philosophical transformation in the production of knowledge and the extraction of value. This book provides a new and unique perspective on the dangers of allowing artificial intelligence and big data to manage society. It is essential reading for those who want to understand the underlying ideological and philosophical changes that have fueled the rise of algorithms and convinced so many to blindly trust their outputs, reshaping our current political and economic situation.
  
• Notes:Includes bibliographical references and index.
  
• ISBN:9781788734004 (paperback)
  1788734009 (paperback)
  9781788734028 (ePub ebook)
  1788734025 (ePub ebook)
  
• Contents:Machine generated contents note: pt. I Ghosts of Departed Quantities
  1. Automating Knowledge
  2. Can Computers Do Math?
  3. Algorithms of Objectification
  pt. II Promise of Frequentist Knowledge
  4. Do Dead Fish Believe in God?
  5. Induction, Behavior and the Fractured Edifice of Frequentism
  pt. III Bayesian Dreams
  6. Bayesian Statistics and the Problem with Frequentism
  7. Bayesian Metaphysics and the Foundation of Knowledge
  8. Automated Abstractions and Alienation.