How can fairness be measured in LLM evaluations?

Fairness in LLM evaluations can be measured by analyzing model outputs across different demographic groups, using techniques such as disparity metrics. These metrics assess whether certain groups receive preferential treatment or biased outcomes. Fairness tests can also include adversarial probing, where specific inputs known to elicit biased responses are used. Additionally, employing fairness-aware evaluation metrics, such as equal opportunity or disparate impact measures, helps quantify potential biases in outputs. Involving diverse human evaluators can also highlight fairness issues inherent in the system.