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+ FairEval is a human-aligned evaluation framework designed to measure fairness, toxicity, and alignment of generative models using:
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+ LLM-as-Judge scoring
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+ Toxicity + fairness analysis (Detoxify, per-category charts)
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+ Human agreement metrics (κ, ρ)
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+ Group-based fairness dashboard
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+ Model-level SQuAD EM/F1 & uncertainty
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+ This framework is built for rigorous Responsible AI analysis inspired by real-world industry evaluation pipelines.