Responsible artificial intelligence: how to develop and use AI in a responsible way

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Fältnamn	Indikatorer	Metadata
000		02601nam a2200349 4500
001		oai:DiVA.org:umu-242756
003		SwePub
008		250807s2019 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
020		a 9783030303709q print
020		a 9783030303730q print
020		a 9783030303716q electronic
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-2427562 URI
024	7	a https://doi.org/10.1007/978-3-030-30371-62 DOI
040		a (SwePub)umu
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a bok2 swepub-publicationtype
100	1	a Dignum, Virginia,c Professoru Umeå universitet,Institutionen för datavetenskap4 aut0 (Swepub:umu)vidi0004
245	1 0	a Responsible artificial intelligence :b how to develop and use AI in a responsible way
250		a 1
264	1	a Cham :b Springer,c 2019
300		a 127 s.
338		a print2 rdacarrier
490	0	a Artificial Intelligence: Foundations, Theory, and Algorithms,x 2365-3051x 2365-306X
520		a In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, andfor interested and concerned researchers, practitioners, and citizens.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
710	2	a Umeå universitetb Institutionen för datavetenskap4 org
856	4	u https://ebookcentral.proquest.com/lib/umeaub-ebooks/detail.action?docID=5972861y Publisher's full text (UmU access)
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-242756
856	4 8	u https://doi.org/10.1007/978-3-030-30371-6

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