Interactive Fairness Auditing: Leveraging AVOIR for Dynamic Evaluation and Mitigation
Summary: Streamlit-based UI for AVOIR fairness monitoring: metric selection, dynamic visuals, and DSL-driven constraint refinement. Runtime bias detection with probabilistic guarantees via AVOIR inference/optimization, demonstrated across datasets, pairing declarative fairness specs with intuitive visuals for responsible ML. (summarized by gpt-5-nano on Feb 09 2026)
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