AI Safety Evaluation: Identifying Bias and StereotypesAI Safety Evaluation: Identifying Bias and Stereotypes
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AI safety evaluation case study focused on identifying harmful bias and stereotype reinforcement in model responses.
Demonstrates structured analysis using policy-based reasoning, risk classification, and severity scoring to assess fairness and safety alignment.
Designed to reflect real-world AI evaluation workflows requiring strong judgment and consistency.
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