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Expl(AI)n It to Me – Explainable AI and Information Systems Research

Author

Listed:
  • Kevin Bauer

    (Leibniz Institute for Financial Research SAFE)

  • Oliver Hinz

    (Goethe University Frankfurt)

  • Wil Aalst

    (RWTH Aachen)

  • Christof Weinhardt

    (Karlsruhe Institute of Technology (KIT))

Abstract

No abstract is available for this item.

Suggested Citation

  • Kevin Bauer & Oliver Hinz & Wil Aalst & Christof Weinhardt, 2021. "Expl(AI)n It to Me – Explainable AI and Information Systems Research," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(2), pages 79-82, April.
    • Handle: RePEc:spr:binfse:v:63:y:2021:i:2:d:10.1007_s12599-021-00683-2
    DOI: 10.1007/s12599-021-00683-2
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    Cited by:

    1. Kevin Bauer & Moritz von Zahn & Oliver Hinz, 2023. "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1582-1602, December.
    2. Greiner, Ben & Grünwald, Philipp & Lindner, Thomas & Lintner, Georg & Wiernsperger, Martin, 2024. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Department for Strategy and Innovation Working Paper Series 01/2024, WU Vienna University of Economics and Business.
    3. Julia Brasse & Hanna Rebecca Broder & Maximilian Förster & Mathias Klier & Irina Sigler, 2023. "Explainable artificial intelligence in information systems: A review of the status quo and future research directions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-30, December.

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