FairStress: A deeper evaluation of fairness in LLM decision-making

FairStress introduces a comprehensive evaluation framework to assess fairness in large language model decision-making across diverse demographic groups. The study identifies systematic biases in model behavior under stress conditions, such as high cognitive load or adversarial prompts, and proposes metrics to quantify and mitigate these disparities.