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Fair AI

Author

Listed:
  • Stefan Feuerriegel

    (ETH Zurich)

  • Mateusz Dolata

    (University of Zurich)

  • Gerhard Schwabe

    (University of Zurich)

Abstract

No abstract is available for this item.

Suggested Citation

  • Stefan Feuerriegel & Mateusz Dolata & Gerhard Schwabe, 2020. "Fair AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 379-384, August.
    • Handle: RePEc:spr:binfse:v:62:y:2020:i:4:d:10.1007_s12599-020-00650-3
    DOI: 10.1007/s12599-020-00650-3
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    References listed on IDEAS

    as
    1. Wil M. P. Aalst & Martin Bichler & Armin Heinzl, 2017. "Responsible Data Science," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(5), pages 311-313, October.
    2. Katharina Hamann & Felix Warneken & Julia R. Greenberg & Michael Tomasello, 2011. "Collaboration encourages equal sharing in children but not in chimpanzees," Nature, Nature, vol. 476(7360), pages 328-331, August.
    3. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
    4. repec:nas:journl:v:115:y:2018:p:e3635-e3644 is not listed on IDEAS
    5. Kraus, Mathias & Feuerriegel, Stefan & Oztekin, Asil, 2020. "Deep learning in business analytics and operations research: Models, applications and managerial implications," European Journal of Operational Research, Elsevier, vol. 281(3), pages 628-641.
    6. James Zou & Londa Schiebinger, 2018. "AI can be sexist and racist — it’s time to make it fair," Nature, Nature, vol. 559(7714), pages 324-326, July.
    Full references (including those not matched with items on IDEAS)

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