16.12.2025
Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics
Defining Measurable Criteria for Responsible AI Agents
Our PI Gitta Kutyniok was featured in VDI Nachrichten discussing ethical and safety challenges for autonomous AI agents. She emphasizes the need for measurable criteria to guide AI decision-making, ensuring responsible and transparent behavior. Kutyniok’s insights highlight how rigorous mathematical frameworks can support trustworthy AI in real-world applications.
Related
15.01.2026
Blind Matching – Aligning Images and Text Without Training or Labels
CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.
08.01.2026
High-Res Images, Less Wait: A Simple Flow for Image Generation
ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.
©Joachim Wendler - stock-adobe.com
02.01.2026
MCML Researchers in Highly-Ranked Journals
We are excited to announce that MCML researchers have four papers published in highly-ranked journals in 2026.
18.12.2025
"See, Don’t Assume": Revealing and Reducing Gender Bias in AI
ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.
