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020 _a9783031214912
_9978-3-031-21491-2
024 7 _a10.1007/978-3-031-21491-2
_2doi
050 4 _aK4240-4343
072 7 _aLNJ
_2bicssc
072 7 _aLAW000000
_2bisacsh
072 7 _aLNJ
_2thema
082 0 4 _a343,099
_223
100 1 _aHirsch, Dennis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aBusiness Data Ethics
_h[electronic resource] :
_bEmerging Models for Governing AI and Advanced Analytics /
_cby Dennis Hirsch, Timothy Bartley, Aravind Chandrasekaran, Davon Norris, Srinivasan Parthasarathy, Piers Norris Turner.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVII, 101 p. 13 illus., 12 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Law,
_x2192-8568
505 0 _a1. What is AI Ethics Management and Why Does it Matter? -- 2. AI Can Injure People and Damage Business Reputation -- 3. Why Companies Pursue AI Ethics Management -- 4. How to Draw Substantive Lines Between Ethical, and Unethical, Uses of AI -- 5. Management Structures and Processes for Achieving Responsible and Ethical AI -- 6. The Next Stage: AI for the Social Good -- 7. Conclusion.
506 0 _aOpen Access
520 _aThis open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.
650 0 _aInformation technology
_xLaw and legislation.
650 0 _aMass media
_xLaw and legislation.
650 0 _aPrivate international law.
650 0 _aConflict of laws.
650 0 _aInternational law.
650 0 _aComparative law.
650 0 _aArtificial intelligence.
650 0 _aBusiness ethics.
650 0 _aCorporate governance.
650 1 4 _aIT Law, Media Law, Intellectual Property.
650 2 4 _aPrivate International Law, International and Foreign Law, Comparative Law.
650 2 4 _aArtificial Intelligence.
650 2 4 _aBusiness Ethics.
650 2 4 _aCorporate Governance.
700 1 _aBartley, Timothy.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aChandrasekaran, Aravind.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aNorris, Davon.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aParthasarathy, Srinivasan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aTurner, Piers Norris.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031214905
776 0 8 _iPrinted edition:
_z9783031214929
830 0 _aSpringerBriefs in Law,
_x2192-8568
856 4 0 _uhttps://doi.org/10.1007/978-3-031-21491-2
912 _aZDB-2-LCR
912 _aZDB-2-SXLC
912 _aZDB-2-SOB
999 _c37722
_d37722