debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias

Kuleen Sasse, Shan Chen, Jackson Pond +2

As Vision Language Models (VLMs) gain widespread use, their fairness remains under-explored. In this paper, we analyze demographic biases across five models and six datasets. We fi…