Building with the Responsible AI toolkit
summary
Beta tool Know Your Data surfaces concrete dataset issues — USA reviews overrepresented and image brightness skew — and the privacy measurement in gfx shows an accuracy versus privacy tradeoff. Fairness Indicators computes false positive and negative rates by subgroup with confidence intervals; LIT exposes that gendered words drive predictions. Applying Model Remediation (min-diff) demonstrably reduces FPR gaps between male and female slices while requiring hyperparameter tuning and careful evaluation.
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