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Audit Me If You Can: Query-Efficient Active Fairness Auditing of Black-Box LLMs
Large Language Models (LLMs) exhibit systematic biases across demographic groups. Auditing is proposed as an accountability tool for black-box LLM applications, but suffers from resource-intensive query access. We conceptualise auditing as uncertainty estimation over a target fairness metric and int
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