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The Ethereal
Auditing the Audit: Five Failure Modes in Benchmark-Validity Audits
July 01, 2026 ยท Grace Period ยท ๐ the TAIGR Workshop at ICML 2026
Authors
Yanhang Li, Zhichao Fan, Zexin Zhuang
arXiv ID
2607.02586
Category
cs.LG: Machine Learning
Cross-listed
cs.SE
Citations
0
Venue
the TAIGR Workshop at ICML 2026
Abstract
Governance frameworks ask AI providers and auditors for documented evaluation evidence, and perturbation-based construct-validity audits are a common form of that evidence. We argue the audits are themselves fragile: their conclusions can be silently manufactured by implementation details that readers cannot see in the reported numbers. We name five classes of pipeline failure and demonstrate each in a self-audit over safety benchmarks and open-weight instruction-tuned models. Under a unified six-point due-diligence gate, every cell lands in a non-confirmatory bucket, and no cell reaches confirmatory. The evidence here is a single two-model, five-benchmark case study, and F1--F5 is an illustrative, deliberately non-exhaustive starting taxonomy -- not a comprehensive partition of audit failures. We position the gate as a withholding and disclosure protocol for assurance-grade evidence, supplementary to (not a replacement for) classical construct-validity evidence, and not as a route to benchmark-validity verdicts.
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