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Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization

Author

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  • Julien Cloarec

    (Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon, UJML - Université Jean Moulin - Lyon 3 - Université de Lyon, Iaelyon - Iaelyon School of Management - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon)

Abstract

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Suggested Citation

  • Julien Cloarec, 2022. "Privacy controls as an information source to reduce data poisoning in artificial intelligence-powered personalization," Post-Print hal-03816601, HAL.
    • Handle: RePEc:hal:journl:hal-03816601
    DOI: 10.1016/j.jbusres.2022.07.045
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    Cited by:

    1. Cloarec, Julien & Cadieu, Charlotte & Alrabie, Nour, 2024. "Tracking technologies in eHealth: Revisiting the personalization-privacy paradox through the transparency-control framework," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    2. Blasco-Arcas, Lorena & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2023. "Leveraging user behavior and data science technologies for management: An overview," Journal of Business Research, Elsevier, vol. 154(C).

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