FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making
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arXiv:2609.01691v1 Announce Type: new Abstract: Vision-language models (VLMs) are increasingly used to make decisions from visual inputs. We introduce FAIRLENS, a benchmark and evaluation framework for measuring both the fairness and the validity of VLM responses in three high-stakes domains: hirin…
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- 2026-09-03 04:00 · arXiv cs.CV
FairLens: Benchmarking Fairness in Vision-Language Models for High-Stakes Decision-Making