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papersSEP 10 04:00 UTC

Causal Abstraction Method Reduces Cost of Fairness Auditing in Diffusion Models

A new arXiv paper proposes an auditing instrument built on causal abstraction to assess fairness in text-to-image diffusion models. The approach aims to avoid the heavy computation normally required when generating many images across different sampling configurations. It targets making comprehensive fairness evaluations more practical for these models.

arXiv ai-fairness causal abstraction diffusion-models fairness auditing text-to-image diffusion models

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arXiv cs.LGEfficient Fairness Auditing Across Guidance Scales in Text-to-Image Diffusion Models via Causal Abstraction ↗SEP 10 04:00 UTC