The challenge of responsible AI

Christine Balagué ()
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Christine Balagué: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], LITEM - Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) - UEVE - Université d'Évry-Val-d'Essonne - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: onsumers' daily lives are oriented through algorithms such as recommendations systems, Real Time Biding advertising, filtered information on social networks, website classification on search engines. These algorithms, which become marketing tools, are based on Artificial Intelligence and mostly on machine learning or deep learning methods. However, these largely used algorithms present ethical issues such as bias, discrimination, opacity, encapsulated opinion and non-equity. We will present the ethical issues of artificial intelligence and the challenge of responsible IA for both academics and practitioners.

Keywords: Artificial intelligence; Ethics; Responsibility; Algorithm (search for similar items in EconPapers)
Date: 2019-01-16
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Published in Seminar of AIM Research Center on Artificial Intelligence in Value Creation, Jan 2019, Lyon, France

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01984671

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