Virtues for AI
Virtue theory is a natural approach toward the design of artificially intelligent systems, given that the design of artificial intelligence essentially aims at designing agents with excellent dispositions. This has led to a lively research programme to develop artificial virtues. However, this research programme has until now had a narrow focus on moral virtues in an Aristotelian mould. While Aristotelian moral virtue has played a foundational role in the field, it unduly constrains the possibilities of virtue theory for artificial intelligence. This paper aims to remedy this limitation. Philosophers have developed a rich tradition investigating virtues, their normative domains and their structure. Drawing on this tradition, I propose a three-dimensional classification system of possible artificial virtues: virtues can be classified according to the <i>domain</i> in which virtue is an excellence, <i>norm</i> that makes a virtue an excellence, and <i>mode</i> of how the virtue delivers the excellence. With this framework, we can discern gaps in the current theorising about artificial virtues. Additionally, it gives us a tool to evaluate the competences of extant artificially intelligent systems.
Authors
- Jakob Ohlhorst (ORCID: https://orcid.org/0000-0001-8630-6358)
Institutions
- Vrije Universiteit Amsterdam (NL)
Publication Details
- Journal
- AI & Society
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1007/s00146-025-02264-3
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 2.37
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- KU Leuven
- Universität Stuttgart