000 01541nam a22003017c 4500
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003 ES-MaONT
005 20210210164521.0
008 201008s2020 fr ad||fr|||| 00| 0 eng d
040 _aES-MaONT
245 0 0 _aAI and the Ethical Conundrum
_b: How organizations can build ethically robust AI systems and gain trust
_c/ Capgemini Research Institute
260 _a[París] :
_bCapgemini Research Institute,
_c2020
300 _a42 p.
_b: il., graf.;
_c1 fichero pdf
336 _atexto (visual)
_2isbdcontent
337 _aelectrónico
_2isbdmedia
338 _arecurso en línea
_2rdacarrier
520 _aIn this research, we investigate the fundamental trust and ethics issues, drawing on a survey of over 800 organizations and 2,900 consumers. We examine the risks that organizations face with regards to the trust they share with key stakeholders – from customers to employees; the extent to which organizations have operationalized ethical principles, such transparency, and fairness; and how far they have evolved their internal practices to reflect the importance of ethics in AI.
540 _aAll rights reserved
_b; Capgemini
650 0 _94348
_aInteligencia Artificial
653 _acustomer
653 _aAI-enabled
653 _aAI systems
653 _atechnology tools
710 2 _aCapgemini Research Institute
_92664
856 4 _uhttps://www.capgemini.com/wp-content/uploads/2020/10/AI-and-the-Ethical-Conundrum-Report.pdf
_x0
_yAcceso al documento
_qpdf
942 _2z
_cINF