DH^CH / Maria-Teresa De Rosa-Palmini

Since February 2024, Maria-Teresa has been a PhD student at the Digital Society Initiative of the University of Zurich. She holds a BA in English Language and Literature from the National and Kapodistrian University of Athens and an MA in Computational Linguistics from the University of Konstanz. Her research, embedded within the project The Canon of Latent Spaces: How Large AI Models Encode Art and Culture under the supervision of Dr. Eva Cetinić, sits at the intersection of human-centered AI, algorithmic fairness, and cultural representation. She investigates how multimodal models, particularly text-to-image systems, encode, distort, or constrain our understanding of culture, history, and creativity. Through systematic and scalable evaluation methods, her work uncovers representational biases rooted in both training data and patterns of user interaction. More broadly, her research contributes to fairness in multimodal learning and supports the responsible and culturally sensitive deployment of generative AI technologies.

• Evaluating Historical Representation in Text-to-Image Models: The HistVis Dataset