000			02106cam a2200373 i 4500
001			22390505
003			KeNaZET
005			20241202131220.0
007			ta
008			220108s2022 flu b 001 0 eng
010			_a 2021051236
020			_a9781032217314 _q(hardback)
020			_a9781032062938 _q(paperback)
020			_z9781003278290 _q(ebook)
040			_aLBSOR/DLC _beng _erda _cDLC
042			_apcc
050	0	0	_aQA76.9.D343 _bM384 2022
082	0	0	_a006.3/12 _223/eng/20220201
100	1		_aMartin, Kirsten, _eauthor. _927286
245	1	0	_aEthics of data and analytics : _bconcepts and cases / _cKirsten Martin.
250			_aFirst edition.
260			_aAbingdon, Oxon : _bCRC Press, _cc2022
300			_axvii, 473 pages ; _c26 cm _bill.
504			_aIncludes bibliographical references and index.
505			_aValue-laden biases in data analytics -- Ethical theories and data analytics -- Privacy, data and shared responsibility -- Surveillance and power -- The purpose of the corporation and data analytics -- Fairness and justice in data analytics -- Discrimination and data analytics -- Creating outcomes and accuracy in data analytics -- Gamification, manipulation and data analytics -- Transparency and accountability in data analytics -- Ethics, AI, Research and corporations
520			_a"This textbook provides faculty the major concepts and cases to include in a class on the ethics of data analytics. The book is distinct as it focuses on ethics of data analytics, AI, and data (rather than infrastructure and reliability) and by explicitly linking data analytics to foundational business ethics theory"--
650		0	_aData mining _xMoral and ethical aspects _vTextbooks. _927287
650		0	_aBig data _xMoral and ethical aspects _vTextbooks. _927288
650		0	_aArtificial intelligence _xMoral and ethical aspects _vTextbooks. _927289
650		0	_aBusiness ethics _vTextbooks. _927290
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK _kQA76.9.D343 _m.M37 2022
999			_c9389 _d9389