Challenges and efforts in managing AI trustworthiness risks: a state of knowledge
This paper addresses the critical gaps in existing AI risk management frameworks, emphasizing the neglect of human factors and the absence of metrics for socially related or human threats. Drawing from insights provided by NIST AI RFM and ENISA, the research underscores the need for understanding th...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2024-05-01
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| Serie: | Frontiers in Big Data |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fdata.2024.1381163/full |
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