14.02.2025

Teaser image to Gitta Kutyniok on Supporting Companies with the EU’s AI Act

Gitta Kutyniok on Supporting Companies With the EU’s AI Act

LMU News

MCML PI Gitta Kutyniok and her team at LMU are assisting companies in tackling the challenges of the EU’s AI Act.

Their research focuses on creating practical solutions to ensure compliance, while also supporting innovation. With AI regulations constantly evolving, their expertise is crucial in bridging the gap between policy and technology.

«The goal of the joint research project between LMU, TUM, and UTN is to formalize the legal requirements of the AI Act, because once this is accomplished, explanation and assessment of the AI Act can follow very clear guidelines.»


Gitta Kutyniok

MCML PI

#research #kutyniok

Related

Link to Teaching Language Models to Express Uncertainty

29.10.2026

Teaching Language Models to Express Uncertainty

An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.

Read more
Link to Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

27.10.2026

Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench

Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.

Read more
Link to Welcoming Ewa Szczurek to MCML

27.10.2026

Welcoming Ewa Szczurek to MCML

Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.

Read more
Link to Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

26.10.2026

Best Paper Award at AIES 2026 for Work on Algorithmic Contestability

MCML Junior Member Timo Freiesleben received the Best Paper Award at AIES 2026 for his work on algorithmic contestability.

Read more
Tiny logo
Link to MCML at EMNLP 2026

23.10.2026

MCML at EMNLP 2026

MCML researchers are represented with 47 papers at EMNLP 2026 (31 Main, 11 Findings, and 5 Workshops).

Read more
Back to Top