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cs.CV2026
Capability Interpretability: Human Interpretability of Vision Foundation Models
Julien Colin, Lore Goetschalckx, Nuria Oliver +1
How interpretable are the features of leading vision models? The question is increasingly pressing as these models move from research benchmarks into high-stakes deployments, yet e…
cs.CV2026
Aesthetics as Structural Harm: Algorithmic Lookism Across Text-to-Image Generation and Classification
Miriam Doh, Aditya Gulati, Corinna Canali +1
This paper examines algorithmic lookism-the systematic preferential treatment based on physical appearance-in text-to-image (T2I) generative AI and a downstream gender classificati…