Sensitive prompts serve as an early-warning signal for fairness risks in LLMs by eliciting responses that often miss ethical or contextual implications.
Fairness on a budget, across the board: A cost-effective evaluation of fairness-aware practices across contexts, tasks, and sensi- tive attributes
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Bias Ahead: Sensitive Prompts as Early Warnings for Fairness in Large Language Models
Sensitive prompts serve as an early-warning signal for fairness risks in LLMs by eliciting responses that often miss ethical or contextual implications.