1 citations · 1 across the 1 of their papers we have counts for
3 papers
Gender Artifacts from Art History to Text-to-Image Generation
Piera Riccio, Miriam Doh, Benedikt Höltgen +2
Artistic styles are rooted in specific socio-historical contexts that encode social hierarchies, including distinct constructions of gender. Yet in AI research, style has long been…
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…
Found in Translation: semantic approaches for enhancing AI interpretability in face verification
Miriam Doh, Caroline Mazini Rodrigues, N. Boutry +3
The increasing complexity of machine learning models in computer vision, particularly in face verification, requires the development of explainable artificial intelligence (XAI) to…