6 papers
Happy Young Women, Grumpy Old Men? Emotion-Driven Demographic Biases in Synthetic Face Generation
Mengting Wei, Aditya Gulati, Guoying Zhao +1
Synthetic faces from text-to-image (T2I) models pervade digital media, yet their demographic biases under emotionally conditioned prompts remain poorly understood. We aim to system…
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…
Why do we Trust Chatbots? From Normative Principles to Behavioral Drivers
Aditya Gulati, Nuria Oliver
As chatbots increasingly blur the boundary between automated systems and human conversation, the foundations of trust in these systems warrant closer examination. While regulatory…
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…
Filters of Identity: AR Beauty and the Algorithmic Politics of the Digital Body
Miriam Doh, Corinna Canali, Nuria Oliver
This position paper situates AR beauty filters within the broader debate on Body Politics in HCI. We argue that these filters are not neutral tools but technologies of governance t…
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…