This paper explores the application of Aristotelian virtue (arête), as quality of excellence and as a key notion of ethics, to AI systems as classified in the EU Artificial Intelligence Act. It argues that while the Act’s approach based on ‘ethical data’ and ‘prima facie values’ aligns with the Rossian paradigm, such principles may not be suitable for all AI systems, particularly those in ‘limited’ or ‘minimal risk’ zones. The paper suggests that the Aristotelian concept of virtue can be effectively applied to designing, training, operating and using no-risk or low-risk AI systems. However, its application to the design and training of high-risk areas such as migration, asylum, border control, and justice, where clearly defined objectives are essential, requires ongoing consideration. The paper concludes that by distinguishing between (a) design, development, training, deployment, operation and use, (b) by stage evaluation of systems, and c) virtuous use of the systems, Aristotelian ethics can serve as a post ex evaluating method for all-risk AI systems, while further research and the potential use of regulatory sandboxes are needed to explore the integration of Aristotelian virtues into the design, development and training of such applications. Finally, we propose a virtuous-based ‘AI Seal of Excellence’ certification process, which empowers the virtuous use of AI systems.
Read full abstract- All Solutions
Editage
One platform for all researcher needs
Paperpal
AI-powered academic writing assistant
R Discovery
Your #1 AI companion for literature search
Mind the Graph
AI tool for graphics, illustrations, and artwork
Journal finder
AI-powered journal recommender
Unlock unlimited use of all AI tools with the Editage Plus membership.
Explore Editage Plus - Support
Overview
831 Articles
Published in last 50 years
Articles published on Notion Of Ethics
Authors
Select Authors
Journals
Select Journals
Duration
Select Duration
838 Search results
Sort by Recency