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How Humans Judge Machines

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(207590)
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US $6,51
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Oggetto che si trova a: Mckeesport, PA, Stati Uniti
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Numero oggetto eBay:267294224329
Ultimo aggiornamento: 18 giu 2025 14:13:43 CESTVedi tutte le revisioniVedi tutte le revisioni

Specifiche dell'oggetto

Condizione
Buone condizioni: Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni ...
Artist
Hidalgo, Cesar A., Orghian, Diana, Canals, Jordi Albo, De Al
Book Title
How Humans Judge Machines
ISBN
9780262045520

Informazioni su questo prodotto

Product Identifiers

Publisher
MIT Press
ISBN-10
0262045524
ISBN-13
9780262045520
eBay Product ID (ePID)
7050033462

Product Key Features

Number of Pages
256 Pages
Publication Name
How Humans Judge Machines
Language
English
Subject
Social Aspects / General, Intelligence (Ai) & Semantics, General
Publication Year
2021
Type
Textbook
Author
Natalia Martin, Diana Orghian, Cesar A. Hidalgo, Filipa De Almeida, Jordi Albo Canals
Subject Area
Computers, Science
Format
Hardcover

Dimensions

Item Height
0.9 in
Item Weight
25.6 Oz
Item Length
9.2 in
Item Width
7.1 in

Additional Product Features

Intended Audience
Trade
LCCN
2020-018949
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
174.90063
Synopsis
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? Cesar 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., 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? C 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.
LC Classification Number
Q334.7.H37 2021

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