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Analyzing the Use of Ethical Theories Within AI Ethics Research: A Systematic Scoping Review

In: People, Society, and Ethical Challenges of Information Systems

Author

Listed:
  • Alina Hafner

    (Technical University of Munich, Information Systems and Business Process Management)

  • Teresa Hammerschmidt

    (University of Bamberg, Information Systems and Social Networks)

  • Katharina Heselschwerdt

    (University of Stuttgart, Innovation and Service Management)

Abstract

Artificial Intelligence (AI) ethics research is a multifaceted field, requiring different theoretical justifications in which researchers can ground their underlying perspectives on ethics. We provide an overview of the major normative ethical theories used in Information Systems research on AI ethics. Through a systematic scoping review, we assess the prevailing theories, their progress, and areas needing further study. Our findings reveal a dominance of deontological ethics, which results in determining ethics mainly from the AI’s perspective by discussing ethical design principles but not from how a human user’s virtue ethics perspective guides humans’ moral behavior when collaborating with AI equally. We suggest that researchers recognize how normative ethical theories might bind their work, impacting their understanding of moral agency and responsibility and guiding Corporate Digital Responsibility practices for organizations striving for responsible AI design, deployment, and usage.

Suggested Citation

  • Alina Hafner & Teresa Hammerschmidt & Katharina Heselschwerdt, 2026. "Analyzing the Use of Ethical Theories Within AI Ethics Research: A Systematic Scoping Review," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), People, Society, and Ethical Challenges of Information Systems, pages 51-70, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08486-6_5
    DOI: 10.1007/978-3-032-08486-6_5
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