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Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism

Autor Justin Joque

Editorial VERSO

Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism
-5% dto.    26,90€
25,56€
Ahorra 1,35€
No disponible, consulte disponibilidad
Envío gratis
España peninsular
  • Editorial VERSO
  • ISBN13 9781788734004
  • ISBN10 1788734009
  • Tipo LIBRO
  • Páginas 232
  • Año de Edición 2022
  • Idioma Inglés
  • Encuadernación Paperback

Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism

Autor Justin Joque

Editorial VERSO

-5% dto.    26,90€
25,56€
Ahorra 1,35€
No disponible, consulte disponibilidad
Envío gratis
España peninsular

Detalles del libro

The rise of AI and algorithms refiguring contemporary capitalism.

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 organisational 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 fuelled the rise of algorithms and convinced so many to blindly trust their outputs, reshaping our current political and economic situation.

Justin Joque researches philosophy, technology and media and is the visualization librarian at the University of Michigan.