FairEnc reduces demographic biases in VLMs for glaucoma detection via LLM-generated synthetic text and dual-level visual debiasing while preserving diagnostic accuracy across datasets.
Mitigating un- wanted biases with adversarial learning, in: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, pp
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FairEnc: A Fair Vision-Language Model with Fair Vision and Text Encoders for Glaucoma Detection
FairEnc reduces demographic biases in VLMs for glaucoma detection via LLM-generated synthetic text and dual-level visual debiasing while preserving diagnostic accuracy across datasets.