The authors introduce a taxonomy with target, functional role, and mode of justification axes plus a framework that decomposes abstract XAI desiderata into concrete benchmarkable tasks via identified dependency structures.
arXiv preprint arXiv:2506.14698 (2025)
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CFKD generates counterfactuals for human-guided correction of Clever Hans predictors in image classifiers, removing the need for confounder labels while scaling to multiple spurious correlations.
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Bridging the Disciplinary Gap in Explainable AI: From Abstract Desiderata to Concrete Tasks
The authors introduce a taxonomy with target, functional role, and mode of justification axes plus a framework that decomposes abstract XAI desiderata into concrete benchmarkable tasks via identified dependency structures.
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Mitigating Clever Hans Strategies in Image Classifiers through Generating Counterexamples
CFKD generates counterfactuals for human-guided correction of Clever Hans predictors in image classifiers, removing the need for confounder labels while scaling to multiple spurious correlations.