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Développer des algorithmes responsables

Author

Listed:
  • 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])

Abstract

Les algorithmes d'apprentissage prennent une importance croissante dans le domaine de la santé et permettent des progrès extraordinaires, comme par exemple pour le diagnostic précoce d'une pathologie, en oncologie, pour le séquençage du génome ou encore dans l'imagerie médicale. Ces technologies de machine learning et de deep learning vont être de plus en plus utilisées dans le futur. Cependant, même si l'intelligence artificielle est source de progrès majeurs en santé, son impact sur le patient et plus globalement sur la société peut poser problème...

Suggested Citation

  • Christine Balagué, 2018. "Développer des algorithmes responsables," Post-Print hal-01961201, HAL.
    • Handle: RePEc:hal:journl:hal-01961201
    as

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