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AI and the ethical conundrum : how organizations can build ethically robust AI systems and gain trust
Recurso electrónico / Electronic resource
MARC record
Tag12Value
LDR  00000cam a22000004b 4500
001  MAP20200033387
003  MAP
005  20220912143529.0
008  200416s2020 fra|||| ||| ||eng d
040  ‎$a‎​MAP‎$b‎​spa‎$d‎​MAP
084  ‎$a‎​922.134
24510‎$a‎​AI and the ethical conundrum‎$b‎​: how organizations can build ethically robust AI systems and gain trust
260  ‎$a‎​Paris [etc.]‎$b‎​Capgemini Research Institute‎$c‎​2020
300  ‎$a‎​44 p.
520  ‎$a‎​The unprecedented events of 2020 are bringing the role of artificial intelligence (AI) into sharper focus as governments leverage AI across the public sector and in healthcare as they respond to the COVID-19 pandemic,1 while the use of digital and AI-enabled interactions with customers2 multiply, as customers seek contactless or non-touch interactions with organizations. As the use of AI-powered innovations such as facial recognition increases, the ethics of AI come under increasing legal and societal scrutiny. In 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.
650 4‎$0‎​MAPA20080538668‎$a‎​Ética ‌
650 4‎$0‎​MAPA20080611200‎$a‎​Inteligencia artificial ‌
650 4‎$0‎​MAPA20080605674‎$a‎​Desarrollo tecnológico ‌
650 4‎$0‎​MAPA20080618698‎$a‎​Transparencia informativa ‌
650 4‎$0‎​MAPA20080588434‎$a‎​Toma de decisiones ‌
650 4‎$0‎​MAPA20080606091‎$a‎​Estrategia empresarial ‌
650 4‎$0‎​MAPA20080554866‎$a‎​Innovación ‌
650 4‎$0‎​MAPA20080550592‎$a‎​Encuestas ‌
7102 ‎$0‎​MAPA20200008163‎$a‎​Capgemini Research Institute ‌