30.10.2025
©Terzo Algeri/Fotoatelier M/ TUM
Language Shapes Gender Bias in AI Images
TUM News
Alexander Fraser, MCML PI, and his team discovered that AI image generators reproduce gender stereotypes differently across languages. In their study of nine languages, they found that generic prompts like “accountant” mostly produced male images, while explicitly feminine or neutral prompts reduced bias but sometimes affected image quality.
The study highlights that AI is not language‑agnostic and careful wording can influence outcomes, underlining the need for fairness and multilingual awareness in AI systems.
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Tom Sterkenburg Wins Karl-Heinz Hoffmann Prize of the Bavarian Academy of Sciences
MCML JRG Leader Tom Sterkenburg receives the Karl-Heinz Hoffmann Prize of the BAdW for his interdisciplinary research.
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
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World’s First Complete 3D Model of All Buildings Released
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When to Say "I’m Not Sure": Making Language Models More Self-Aware
ICLR 2025 research by the groups of David Rügamer, and Bernd Bischl introduces methods to make LLMs more reliable by expressing uncertainty.
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MCML at NeurIPS 2025
MCML researchers are represented with 47 papers at NeurIPS 2025 (38 Main, and 9 Workshops).