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Virtues for AI.

Jakob Ohlhorst¹

¹Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

|November 10, 2025

Summary

This summary is machine-generated.

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Virtue theory offers a natural framework for artificial intelligence (AI) design. This study expands beyond moral virtues to propose a new classification system for artificial virtues, enhancing AI development and evaluation.

Area of Science:

Artificial Intelligence
Philosophy of Technology
Ethics

Background:

Virtue theory is a natural fit for designing artificial intelligence (AI) agents with excellent dispositions.
Current research on artificial virtues primarily focuses on Aristotelian moral virtues, limiting the scope of virtue theory in AI.
This narrow focus potentially constrains the development and application of AI.

Purpose of the Study:

To broaden the theoretical foundation of artificial virtues beyond traditional moral virtues.
To propose a comprehensive classification system for artificial virtues.
To provide a framework for evaluating existing AI systems and identifying gaps in artificial virtue research.

Main Methods:

Drawing upon the philosophical tradition of virtue ethics.

Keywords:

Artificial intelligence Artificial moral agents Artificial virtue Connectionism Virtue Virtue epistemology

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Developing a three-dimensional classification system for artificial virtues.

Analyzing the domain, norm, and mode of virtue delivery.

Main Results:

A novel three-dimensional classification system for artificial virtues is proposed.
The framework categorizes virtues based on domain, norm, and mode.
This system reveals limitations in current research and offers a tool for AI competence evaluation.

Conclusions:

The Aristotelian mold of moral virtues is insufficient for the full potential of virtue theory in AI.
A broader, multidimensional approach to artificial virtues is necessary for advancing AI design.
The proposed classification system facilitates a more nuanced understanding and evaluation of artificial virtues in AI.