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Definition of the problem <p>The use of digital methods, particularly artificial intelligence (AI) and large language models, increasingly expands the methodological scope of medical ethics. These novel tools facilitate the analysis of large datasets within empirically oriented medical ethics, while also promising to provide decision support for normatively challenging clinical situations. Against this background, the present article examines to what extent the problem of skill loss—deskilling—resulting from the growing offloading of tasks to AI-based systems also arises in medical ethics.</p> Arguments <p>In order to identify potential challenges more precisely, the current use of digital methods in medical ethics is first systematised and then analysed with regard to possible consequences on the basis of Shannon Vallor’s work on moral deskilling. The article argues that allowing genuinely normative decisions to be resolved by AI-supported systems poses a&#xa0;significant risk to moral competencies. At the same time, it outlines alternative ways in which AI may be used to enhance the cultivation of moral judgment in medicine.</p> Conclusion <p>Preventing moral deskilling in medical ethics requires a&#xa0;critical and reflective use of AI that preserves and promotes human moral judgment on the basis of human autonomy rather than replacing it.</p>

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Eingang in die selbstverschuldete Unmündigkeit? KI-gestützte Entscheidungen und die Gefahr des moralischen Deskilling in der Medizinethik

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  • 出版模式：

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  • 发表日期：

    2026年6月1日

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  • Georg Starke

摘要

Definition of the problem

The use of digital methods, particularly artificial intelligence (AI) and large language models, increasingly expands the methodological scope of medical ethics. These novel tools facilitate the analysis of large datasets within empirically oriented medical ethics, while also promising to provide decision support for normatively challenging clinical situations. Against this background, the present article examines to what extent the problem of skill loss—deskilling—resulting from the growing offloading of tasks to AI-based systems also arises in medical ethics.

Arguments

In order to identify potential challenges more precisely, the current use of digital methods in medical ethics is first systematised and then analysed with regard to possible consequences on the basis of Shannon Vallor’s work on moral deskilling. The article argues that allowing genuinely normative decisions to be resolved by AI-supported systems poses a significant risk to moral competencies. At the same time, it outlines alternative ways in which AI may be used to enhance the cultivation of moral judgment in medicine.

Conclusion

Preventing moral deskilling in medical ethics requires a critical and reflective use of AI that preserves and promotes human moral judgment on the basis of human autonomy rather than replacing it.