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A Capability Approach to AI Ethics

arXiv 2502.03469 ↗First posted 10 Jan 2025cs.CY cs.AIcited by 1

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Abstract (arXiv)

We propose a conceptualization and implementation of AI ethics via the capability approach. We aim to show that conceptualizing AI ethics through the capability approach has two main advantages for AI ethics as a discipline. First, it helps clarify the ethical dimension of AI tools. Second, it provides guidance to implementing ethical considerations within the design of AI tools. We illustrate these advantages in the context of AI tools in medicine, by showing how ethics-based auditing of AI tools in medicine can greatly benefit from our capability-based approach.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 7 of its 29 references that are in the map. First posted on arXiv 10 Jan 2025.

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7 of 29 references.

References · 7

  1. 2018Model Cards for Model Reportingcited by 1,080
  2. 2020Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditingcited by 384
  3. 2023Auditing large language models: a three-layered approachcited by 137
  4. 2019Principles alone cannot guarantee ethical AIcited by 135
  5. 2019Artificial Intelligence: the global landscape of ethics guidelinescited by 107
  6. 2021Ethics-Based Auditing to Develop Trustworthy AIcited by 23
  7. 2023Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systemscited by 9

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Three Kinds of AI Ethicscited by 0