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How Humans Judge Machines
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  • Title How Humans Judge Machines
  • Author(s) Cesar A. Hidalgo, Diana Orghiain, Jordi Albo Canals, Filipa de Almeida and Natalia Martin
  • Publisher: The MIT Press (February 2, 2021); eBook (MIT Open Access Edition)
  • License(s): CC BY-NC-ND 4.0
  • Hardcover 256 pages
  • eBook PDF files
  • Language: English
  • ISBN-10: 0262045524
  • ISBN-13: 978-0262045520
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Book Description

A detailed examination of people's reactions to machine actions as compared to human actions. Through dozens of experiments, this book explores when and why people judge humans and machines differently.

How would you feel about losing your job to a machine? How about a tsunami alert system that fails? Would you react differently to acts of discrimination depending on whether they were carried out by a machine or by a human? What about public surveillance?

This book compares people's reactions to actions performed by humans and machines. Using data collected in dozens of experiments, this book reveals the biases that permeate human-machine interactions.

It presents a unique perspective on the nexus between AI and society. Anyone interested in the future of AI ethics should explore the experiments and theories in How Humans Judge Machines.

It uses hard science to take on these pressing technological questions. Using randomized experiments, it creates revealing counterfactuals and build statistical models to explain how people judge artificial intelligence and whether they do it fairly. Through original research, How Humans Judge Machines bring us one step closer tounderstanding the ethical consequences of AI.

About the Authors
  • Cesar A. Hidalgo, Director of the Center for Collective Learning at the University of Toulouse.
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