How humans judge machines /

"80 experimental scenarios help us understand how humans judge AIs as opposed to other humans in the same situation"--

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Bibliographic Details
Main Authors: Hidalgo, Ce?sar A., 1979-
Group Author: Orghian, Diana; Albo-Canals, Jordi; Almeida, Filipa de; Marti?n Cantero, Natalia
Published: The MIT Press,
Publisher Address: Cambridge, Massachusetts :
Publication Dates: [2021]
Literature type: Book
Language: English
Subjects:
Summary: "80 experimental scenarios help us understand how humans judge AIs as opposed to other humans in the same situation"--
How people judge humans and machines differently, in scenarios involving natural disasters, labor displacement, policing, privacy, algorithmic bias, and more. 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? How Humans Judge Machines 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. Are there conditions in which we judge machines unfairly? Is our judgment of machines affected by the moral dimensions of a scenario? Is our judgment of machine correlated with demographic factors such as education or gender? Ce?sar Hidalgo and colleagues use hard science to take on these pressing technological questions. Using randomized experiments, they create 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. -- Provided by publisher.
Carrier Form: xi, 243 pages : color illustrations ; 24 cm
Bibliography: Includes bibliographical references and index.
ISBN: 9780262045520
0262045524
Index Number: Q334
CLC: B82-057
Call Number: B82-057/H632
Contents: Executive Summary: How Humans Judge Machines -- Introduction: Judging Machines -- The Ethics of Artificial Minds -- Unpacking the Ethics of AI -- Judged by Machines -- In the Eye of the Machine -- Working Machines -- Moral Functions -- Liable Machines -- Appendix -- Additional scenarios -- Index