AI RESEARCH
Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing
arXiv CS.LG
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ArXi:2305.13883v3 Announce Type: replace Algorithmic auditing has become central to platform accountability under frameworks such as the AI Act and the Digital Services Act. In practice, this obligation is discharged through dedicated Audit APIs. This architecture creates a paradox: the entity under scrutiny controls the evaluation interface. A platform facing legal sanctions can serve a compliant surrogate model on its Audit API, while running a discriminatory production system. This deceptive practice is known as fairwashing.