Car that knew too much: can a machine be moral? (Record no. 56773)

MARC details
000 -LEADER
fixed length control field 02150 a2200217 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262045797
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 174.9363125
Item number BON
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bonnefon, Jean-Francois
245 ## - TITLE STATEMENT
Title Car that knew too much: can a machine be moral?
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc The MIT Press,
Date of publication, distribution, etc 2021.
Place of publication, distribution, etc Cambridge:
300 ## - PHYSICAL DESCRIPTION
Extent x, 159p.;
Other physical details hbk;
Dimensions 21cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes notes, index and references
520 ## - SUMMARY, ETC.
Summary, etc Human drivers don't find themselves facing such moral dilemmas as “should I sacrifice myself by driving off a cliff if that could save the life of a little girl on the road?” Human brains aren't fast enough to make that kind of calculation; the car is over the cliff in a nanosecond. A self-driving car, on the other hand, can compute fast enough to make such a decision—to do whatever humans have programmed it to do. But what should that be? This book investigates how people want driverless cars to decide matters of life and death. In The Car That Knew Too Much, psychologist Jean-François Bonnefon reports on a groundbreaking experiment that captured what people think cars should do in situations where not everyone can be saved. Sacrifice the passengers for pedestrians? Save children rather than adults? Kill one person so many can live? Bonnefon and his collaborators Iyad Rahwan and Azim Shariff designed the largest experiment in moral psychology ever: the Moral Machine, an interactive website that has allowed people —eventually, millions of them, from 233 countries and territories—to make choices within detailed accident scenarios. Bonnefon discusses the responses (reporting, among other things, that babies, children, and pregnant women were most likely to be saved), the media frenzy over news of the experiment, and scholarly responses to it.<br/><br/>https://mitpress.mit.edu/9780262045797/the-car-that-knew-too-much/
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Products liability--Automobiles
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automated vehicles--Moral and ethical aspects
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social surveys--Methodology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Automobiles--Safety measures
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Safety measures--Public opinion
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 23/09/2022 Kushal Books 0.00 5 174.9363125 BON 031875 07/05/2023 17/04/2023 1 1379.00 Books


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