The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case Study

This paper investigates how the Socratic Dialogue can cultivate moral virtues among AI practitioners, focusing on core virtues identified by Hagendorff as essential to ethical AI practice: justice, care, honesty, responsibility, practical wisdom (phronesis), and fortitude. Using a case study conducted at a financial bank’s transaction monitoring department, we examine how structured ethical deliberation cultivates the dispositions needed to navigate moral complexity in AI ethics. Seven participants, including data scientists, legal specialists, and ethics experts, engaged in a facilitated Socratic Dialogue centered on an ethical dilemma involving AI-driven detection of financial fraud and terrorist activity. Through abductive analysis, we found that tensions emerged within key virtues, illustrating the complexities of ethical decision-making in AI systems. Through the collective nature of the dialogue, participants developed a more refined and context-sensitive understanding of key virtues, exploring what it means to be just, caring, honest, or responsible in practice by navigating within them. This process cultivated practical wisdom not as a solitary trait, but as a relational capacity fostered through shared reflection and moral reasoning. Additionally, the method strengthens fortitude, encouraging AI practitioners to voice ethical concerns despite situational pressures. While challenges remain, such as time investment, facilitation demands, and existing power imbalances, the Socratic Dialogue offers a promising foundation for virtue-oriented AI ethics that moves beyond compliance frameworks toward deeper moral engagement.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i3.36748
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00

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article

The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case Study

Íñigo Martínez de Rituerto de Troya, Roel Dobbe, Maarten Wilders
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Ethics and Social Impacts of AI
article

The Socratic Dialogue as a Method for Virtue Ethics in AI: A Case Study

Íñigo Martínez de Rituerto de Troya, Roel Dobbe, Maarten Wilders
article en

Abstract

This paper investigates how the Socratic Dialogue can cultivate moral virtues among AI practitioners, focusing on core virtues identified by Hagendorff as essential to ethical AI practice: justice, care, honesty, responsibility, practical wisdom (phronesis), and fortitude. Using a case study conducted at a financial bank’s transaction monitoring department, we examine how structured ethical deliberation cultivates the dispositions needed to navigate moral complexity in AI ethics. Seven participants, including data scientists, legal specialists, and ethics experts, engaged in a facilitated Socratic Dialogue centered on an ethical dilemma involving AI-driven detection of financial fraud and terrorist activity. Through abductive analysis, we found that tensions emerged within key virtues, illustrating the complexities of ethical decision-making in AI systems. Through the collective nature of the dialogue, participants developed a more refined and context-sensitive understanding of key virtues, exploring what it means to be just, caring, honest, or responsible in practice by navigating within them. This process cultivated practical wisdom not as a solitary trait, but as a relational capacity fostered through shared reflection and moral reasoning. Additionally, the method strengthens fortitude, encouraging AI practitioners to voice ethical concerns despite situational pressures. While challenges remain, such as time investment, facilitation demands, and existing power imbalances, the Socratic Dialogue offers a promising foundation for virtue-oriented AI ethics that moves beyond compliance frameworks toward deeper moral engagement.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(3)
Delft University of Technology (NL)
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 71%
Ethics and Social Impacts of AI
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