4 papers
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…
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
Miriam Doh, Aditya Gulati, Matei Mancas +1
This paper examines how synthetically generated faces and machine learning-based gender classification algorithms are affected by algorithmic lookism, the preferential treatment ba…
Beauty and the Bias: Exploring the Impact of Attractiveness on Multimodal Large Language Models
Aditya Gulati, Moreno D'Incà, Nicu Sebe +2
Physical attractiveness matters. It has been shown to influence human perception and decision-making, often leading to biased judgments that favor those deemed attractive in what i…
Normalized Space Alignment: A Versatile Metric for Representation Analysis
Danish Ebadulla, Aditya Gulati, Ambuj Singh
We introduce a manifold analysis technique for neural network representations. Normalized Space Alignment (NSA) compares pairwise distances between two point clouds derived from th…