Fade to Gray: From Black-Box to AI-Antagonistic Audits

Shifting the central focus in AI auditing from assuming truthful model responses to considering the antagonistic interests of an auditor and the AI model being scrutinized.

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Publication Details

Journal
Communications of the ACM
Published
2026-07-22
DOI
https://doi.org/10.1145/3780103
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Fade to Gray: From Black-Box to AI-Antagonistic Audits

Gilles Trédan, Erwan Le Merrer
Communications of the ACM
Ethics and Social Impacts of AI
article

Fade to Gray: From Black-Box to AI-Antagonistic Audits

Gilles Trédan, Erwan Le Merrer
article en

Abstract

Shifting the central focus in AI auditing from assuming truthful model responses to considering the antagonistic interests of an auditor and the AI model being scrutinized.

Communications of the ACM
Centre National de la Recherche Scientifique (FR), Laboratoire d'Analyse et d'Architecture des Systèmes (FR), Centre Inria de l'Université de Rennes (FR), Université de Rennes (FR)
Openalex Percentile: Top 5%
Ethics and Social Impacts of AI
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