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Greater accessibility can amplify discrimination in generative AI
Carolin Holtermann, Minh Duc Bui, Kaitlyn Zhou +3
Hundreds of millions of people rely on large language models (LLMs) for education, work, and even healthcare. Yet these models are known to reproduce and amplify social biases pres…
SoS: Analysis of Surface over Semantics in Multilingual Text-To-Image Generation
Carolin Holtermann, Florian Schneider, Anne Lauscher
Text-to-image (T2I) models are increasingly employed by users worldwide. However, prior research has pointed to the high sensitivity of T2I towards particular input languages - whe…
TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models
Carolin Holtermann, Nina Krebs, Anne Lauscher
Time alters the visual appearance of entities in our world, like objects, places, and animals. Thus, for accurately generating contextually-relevant images, knowledge and reasoning…