How humans judge machines (Record no. 982096)

MARC details
000 -LEADER
fixed length control field 02438nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240718110505.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221216b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262045520
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number HID
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hidalgo, Cesar A
9 (RLIN) 9559
245 ## - TITLE STATEMENT
Title How humans judge machines
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MIT Press
Place of publication, distribution, etc. Cambridge
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xi, 243 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 35.00
520 ## - SUMMARY, ETC.
Summary, etc. 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? César 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 to understanding the ethical consequences of AI. Written by César A. Hidalgo, the author of Why Information Grows and coauthor of The Atlas of Economic Complexity (MIT Press), together with a team of social psychologists (Diana Orghian and Filipa de Almeida) and roboticists (Jordi Albo-Canals), How Humans Judge Machines presents a unique perspective on the nexus between artificial intelligence and society. Anyone interested in the future of AI ethics should explore the experiments and theories in How Humans Judge Machines.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Human - Computer Interaction
9 (RLIN) 938
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence - Moral and Ethical Aspects
9 (RLIN) 7760
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence - Psychological Aspects
9 (RLIN) 10941
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Orghian, Diana
9 (RLIN) 10942
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Albo Canals, Jordi
9 (RLIN) 10943
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification       Bodh Gaya Bodh Gaya General Stacks 16/12/2022 International Book Centre 1903.13   006.3 HID IIMG-004044 16/12/2022 1 2894.50 16/12/2022 Book

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