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Explainable and responsible artificial intelligence

Author

Listed:
  • Christian Meske

    (Ruhr-Universität Bochum)

  • Babak Abedin

    (Macquarie University)

  • Mathias Klier

    (University of Ulm, Institute of Business Analytics)

  • Fethi Rabhi

    (The University of New South Wales)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christian Meske & Babak Abedin & Mathias Klier & Fethi Rabhi, 2022. "Explainable and responsible artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2103-2106, December.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:4:d:10.1007_s12525-022-00607-2
    DOI: 10.1007/s12525-022-00607-2
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    References listed on IDEAS

    as
    1. Scott Thiebes & Sebastian Lins & Ali Sunyaev, 2021. "Trustworthy artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 447-464, June.
    2. Lukas-Valentin Herm & Theresa Steinbach & Jonas Wanner & Christian Janiesch, 2022. "A nascent design theory for explainable intelligent systems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2185-2205, December.
    3. Lennart Hofeditz & Sünje Clausen & Alexander Rieß & Milad Mirbabaie & Stefan Stieglitz, 2022. "Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2207-2233, December.
    4. Md Shajalal & Alexander Boden & Gunnar Stevens, 2022. "Explainable product backorder prediction exploiting CNN: Introducing explainable models in businesses," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2107-2122, December.
    5. Jana Gerlach & Paul Hoppe & Sarah Jagels & Luisa Licker & Michael H. Breitner, 2022. "Decision support for efficient XAI services - A morphological analysis, business model archetypes, and a decision tree," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2139-2158, December.
    6. Markus Binder & Bernd Heinrich & Marcus Hopf & Alexander Schiller, 2022. "Global reconstruction of language models with linguistic rules – Explainable AI for online consumer reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2123-2138, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. 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.
    2. Moritz von Zahn & Jan Zacharias & Maximilian Lowin & Johannes Chen & Oliver Hinz, 2025. "Navigating AI conformity: A design framework to assess fairness, explainability, and performance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 35(1), pages 1-24, December.
    3. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    4. Rainer Alt, 2022. "Electronic Markets on AI and standardization," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1795-1805, December.
    5. Dabestani, Reza & Solaimani, Sam & Ajroemjan, Gazar & Koelemeijer, Kitty, 2025. "Exploring the enablers of data-driven business models: A mixed-methods approach," Technological Forecasting and Social Change, Elsevier, vol. 213(C).
    6. Rainer Schmidt & Rainer Alt & Alfred Zimmermann, 2023. "Assistant platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-14, December.

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