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Arxiv
1d
11
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P2NIA: Privacy-Preserving Non-Iterative Auditing
- The emergence of AI legislation has increased the need to assess the ethical compliance of high-risk AI systems.
- Traditional auditing methods rely on platforms' APIs, which can compromise privacy and result in data leaks.
- P2NIA is a novel auditing scheme that proposes a mutually beneficial collaboration between auditors and platforms.
- P2NIA enhances fairness assessments using synthetic or local data, avoiding the challenges of traditional API-based audits.
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