Moral machines: teaching robots right from wrong

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Publisher:
Oxford University Press,
Pub. Date:
2009.
Language:
English
Description
Computers are already approving financial transactions, controlling electrical supplies, and driving trains. Soon, service robots will be taking care of the elderly in their homes, and military robots will have their own targeting and firing protocols. Colin Allen and Wendell Wallach argue that as robots take on more and more responsibility, they must be programmed with moral decision-making abilities, for our own safety. Taking a fast paced tour through the latest thinking about philosophical ethics and artificial intelligence, the authors argue that even if full moral agency for machines is a long way off, it is already necessary to start building a kind of functional morality, in which artificial moral agents have some basic ethical sensitivity. But the standard ethical theories don't seem adequate, and more socially engaged and engaging robots will be needed. As the authors show, the quest to build machines that are capable of telling right from wrong has begun.Moral Machines is the first book to examine the challenge of building artificial moral agents, probing deeply into the nature of human decision making and ethics.
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ISBN:
9780195374049
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Grouped Work ID9daa23f0-f5e1-54ab-141e-8bdd05061439
Grouping Titlemoral machines teaching robots right from wrong
Grouping Authorwallach wendell
Grouping Categorybook
Last Grouping Update2019-12-31 17:31:16PM
Last Indexed2020-01-25 04:44:54AM

Solr Details

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authorWallach, Wendell, 1946-
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Bib IdFormatFormat CategoryEditionLanguagePublisherPublication DatePhysical Description
ils:.b13032690BookBooksEnglishOxford University Press, 2009.xi, 275 pages : illustrations ; 25 cm
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subject_facetComputers -- Moral and ethical aspects
Computers -- Social aspects
Robotics
title_displayMoral machines : teaching robots right from wrong
title_fullMoral machines : teaching robots right from wrong / Wendell Wallach, Colin Allen
title_shortMoral machines
title_subteaching robots right from wrong