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Virtues for AI

  • Jakob Ohlhorst

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

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 domain in which virtue is an excellence, norm that makes a virtue an excellence, and mode 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.
Original languageEnglish
Pages (from-to)5115-5125
Number of pages11
JournalAI & Society
Volume40
Issue number7
Early online date6 Mar 2025
DOIs
Publication statusPublished - Oct 2025

Funding

Funding was provided by Schweizerischer Nationalfonds zur F\u00F6rderung der Wissenschaftlichen Forschung (Grant No. P500PH_211167).

FundersFunder number
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungP500PH_211167

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