Machine ethics : from machine morals to the machinery of morality /

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Bibliographic Details
Author / Creator:Pereira, Luís Moniz.
Uniform title:Máquinas Éticas. English
Imprint:Cham : Springer, 2020.
Description:1 online resource
Language:English
Series:Studies in applied philosophy, epistemology and rational ethics ; v. 53
Studies in applied philosophy, epistemology and rational ethics ; v. 53.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12604293
Hidden Bibliographic Details
Other authors / contributors:Lopes, António Barata.
ISBN:9783030396305
3030396304
3030396290
9783030396299
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and indexes.
Summary:This book offers the first systematic guide to machine ethics, bridging between computer science, social sciences and philosophy. Based on a dialogue between an AI scientist and a novelist philosopher, the book discusses important findings on which moral values machines can be taught and how. In turn, it investigates what kind of artificial intelligence (AI) people do actually want. What are the main consequences of the integration of AI in peoples every-day life? In order to co-exist and collaborate with humans, machines need morality, but which moral values should we teach them? Moreover, how can we implement benevolent AI? These are just some of the questions carefully examined in the book, which offers a comprehensive account of ethical issues concerning AI, on the one hand, and a timely snapshot of the power and potential benefits of this technology on the other. Starting with an introduction to common-sense ethical principles, the book then guides the reader, helping them develop and understand more complex ethical concerns and placing them in a larger, technological context. The book makes these topics accessible to a non-expert audience, while also offering alternative reading pathways to inspire more specialized readers.
Other form:Print version: Pereira, Luís Moniz. Máquinas Éticas. English. Machine ethics. Cham : Springer, 2020 3030396290 9783030396299
Standard no.:10.1007/978-3-030-39
10.1007/978-3-030-39630-5