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The Present and Future of Accountability for AI Systems: A Bibliometric Analysis

Author

Listed:
  • Bartsch, Sebastian Clemens
  • Nguyen, Long Hoang
  • Schmidt, Jan-Hendrik
  • Du, Guangyu
  • Adam, Martin
  • Benlian, Alexander
  • Sunyaev, Ali

Abstract

No abstract is available for this item.

Suggested Citation

  • Bartsch, Sebastian Clemens & Nguyen, Long Hoang & Schmidt, Jan-Hendrik & Du, Guangyu & Adam, Martin & Benlian, Alexander & Sunyaev, Ali, 2025. "The Present and Future of Accountability for AI Systems: A Bibliometric Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 156974, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:156974
    DOI: 10.1007/s10796-025-10636-9
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/156974/
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    References listed on IDEAS

    as
    1. Emilio Ferrara, 2024. "GenAI against humanity: nefarious applications of generative artificial intelligence and large language models," Journal of Computational Social Science, Springer, vol. 7(1), pages 549-569, April.
    2. Adam, Martin & Röthke, Konstantin & Benlian, Alexander, 2023. "Human Versus Automated Sales Agents: How and Why Customer Responses Shift Across Sales Stages," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 134830, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Samuel Fosso Wamba & Maciel M. Queiroz, 2023. "Responsible Artificial Intelligence as a Secret Ingredient for Digital Health: Bibliometric Analysis, Insights, and Research Directions," Information Systems Frontiers, Springer, vol. 25(6), pages 2123-2138, December.
    4. Mollie Painter-Morland, 2006. "Redefining Accountability As Relational Responsiveness," Journal of Business Ethics, Springer, vol. 66(1), pages 89-98, June.
    5. Schmidt, Jan-Hendrik & Bartsch, Sebastian Clemens & Adam, Martin & Benlian, Alexander, 2025. "Elevating Developers' Accountability Awareness in AI Systems Development : The Role of Process and Outcome Accountability Arguments," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 153713, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    6. Kirsten Martin, 2019. "Ethical Implications and Accountability of Algorithms," Journal of Business Ethics, Springer, vol. 160(4), pages 835-850, December.
    7. Marija Aleksovska & Thomas Schillemans & Stephan Grimmelikhuijsen, 2019. "Lessons from five decades of experimental and behavioral research on accountability: A systematic literature review," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 2(2).
    8. Sagar Samtani & Ziming Zhao & Ram Krishnan, 2023. "Secure Knowledge Management and Cybersecurity in the Era of Artificial Intelligence," Information Systems Frontiers, Springer, vol. 25(2), pages 425-429, April.
    9. Michael Vössing & Niklas Kühl & Matteo Lind & Gerhard Satzger, 2022. "Designing Transparency for Effective Human-AI Collaboration," Information Systems Frontiers, Springer, vol. 24(3), pages 877-895, June.
    10. 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.
    11. Schmidt, Jan-Hendrik & Bartsch, Sebastian Clemens & Adam, Martin & Benlian, Alexander, 2025. "Elevating Developers' Accountability Awareness in AI Systems Development : The Role of Process and Outcome Accountability Arguments," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 154037, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    12. repec:dar:wpaper:138572 is not listed on IDEAS
    13. Stefan Schmager & Ilias O. Pappas & Polyxeni Vassilakopoulou, 2025. "Understanding Human-Centred AI: a review of its defining elements and a research agenda," Behaviour and Information Technology, Taylor & Francis Journals, vol. 44(15), pages 3771-3810, September.
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