Investigated
What is model interpretability auditing?
Short answer
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Model interpretability auditing is the systematic assessment of whether a model’s explanations or internal-structure analyses are meaningful, reliable, and useful for checking properties such as fairness, safety, or accountability. The field remains unsettled: black-box explanations can help, but limited access, weak standards, and the difficulty of validating local explanations can sharply constrain what an audit demonstrates.
The views on this question
Two lenses on the same evidence. Source weight and the primary source ratio show what each rests on.
Skeptics
Source weight 50%Lens adapted to this topic: Limits and unresolved challenges
A skeptical perspective emphasizes that an explanation is not automatically evidence that a model is fair, safe, or understood. Model-agnostic methods may conceal important mechanisms; black-box access limits what auditors can test; local explanations may be difficult to sanity-check at scale; and mechanistic interpretability lacks standardized experimental auditing. This view treats audit conclusions as conditional on access, method, and validation.
- Model-agnostic tools such as partial-dependence and individual-conditional-expectation plots can be useful, but their limitations may undermine fairness audits in high-stakes settings.
- Black-box access restricts rigorous auditing, while internal model access and information about training and deployment enable stronger and more targeted evaluations.
- Auditing provider-supplied local explanations can require an exorbitant number of queries, especially in high-dimensional settings.
- Mechanistic interpretability lacks a standardized system for auditing experiments, making conflicting or incomparable findings harder to certify for safety-critical use.
Follow the white rabbit
Deeper threads worth pulling on next.
- How do model cards work?Different angle, same storyModel cards summarize a model’s intended use, evaluations, and limits, helping auditors interpret findings.
- What are counterfactual explanations?A different rabbit holeCounterfactuals show minimal input changes that flip outputs and test whether explanations are actionable.
- Can audits be done on black boxes?