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How Big Data modifies tools for responsible AI?

Author

Listed:
  • Jean-Marie John Matthews

    (médialab - médialab (Sciences Po) - Sciences Po - Sciences Po, 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])

  • Dominique Cardon

    (médialab - médialab (Sciences Po) - Sciences Po - Sciences Po)

  • Christine Balagué

    (CONNECT - Consommateur Connecté dans la Société Numérique - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris], 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])

Abstract

In the digital era, analytics based on artificial intelligence (AI) are increasingly numerous. Their outstanding achievement mark a real revolution in the way data are processed and the types of insights that can be generated (Kersting & Meyer, 2018). At the same time, we are experiencing an increasing multidisciplinary academic research about societal and ethical issues raised by algorithms, such as discrimination, opacity in the decision-making process and privacy infringement (Barocas, Selbst, 2016 ; Selbst & al., 2018) . This article provides a framework to analyze the different visions of integrating ethics in Artificial Intelligence in information systems.

Suggested Citation

  • Jean-Marie John Matthews & Dominique Cardon & Christine Balagué, 2019. "How Big Data modifies tools for responsible AI?," Post-Print hal-02486736, HAL.
    • Handle: RePEc:hal:journl:hal-02486736
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