Auditing CLIP models for bias using Metropolitan Museum of Art metadata to separate algorithmic valuation from archival confounders
Read the original at arxiv.org→arXiv:2609.17572v1 Announce Type: new Abstract: Auditing vision-language models (VLMs) for societal bias requires distinguishing direct algorithmic valuation disparities from confounders embedded within archival...
Original headline: "Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation in Metropolitan Museum Archives"
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- Sep 17, 04:00 UTC arXiv cs.LG lead source Disentangling Algorithmic Bias from Archival Artifacts: A Controlled Audit of Vision-Language Model Valuation in Metropolitan Museum Archives