A Capability Approach to AI Ethics
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866917914469203968 |
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| author | Ratti, Emanuele Graves, Mark |
| author_facet | Ratti, Emanuele Graves, Mark |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03469 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Capability Approach to AI Ethics Ratti, Emanuele Graves, Mark Computers and Society Artificial Intelligence 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. |
| title | A Capability Approach to AI Ethics |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2502.03469 |