C2B detects biases in visual classifiers by using an LLM to propose bias categories, retrieving unlabeled images for those categories, and measuring accuracy differences in the classifier.
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Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
C2B detects biases in visual classifiers by using an LLM to propose bias categories, retrieving unlabeled images for those categories, and measuring accuracy differences in the classifier.