FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making
FAIRLENS shows that fair high-stakes VLM behavior requires similar treatment across groups and refusal to infer high-stakes attributes from appearance, and its question suite transfers to any face corpus with demographic annotations.