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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. Nikhil Garg & Londa Schiebinger & Dan Jurafsky & James Zou, 2018. "Word embeddings quantify 100 years of gender and ethnic stereotypes," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(16), pages 3635-3644, April.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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