Home  | News

10.03.2026

Teaser image to Reinhard Heckel Featured in FAZ

Reinhard Heckel Featured in FAZ

High-Quality Data Are Key to Effective and Fair AI

MCML PI Reinhard Heckel was recently featured in Frankfurter Allgemeine Zeitung (FAZ) in the article “Wieso es in der Künstlichen Intelligenz jetzt erst recht auf hochwertige Daten ankommt.” The piece underscores why high‑quality data are crucial for training effective and fair AI systems, highlighting how better data improves model performance and helps mitigate bias and other pitfalls in AI.

#media #research #heckel

Related

Link to FIFA World Cup: How well can AI predict sports results?

19.06.2026

FIFA World Cup: How Well Can AI Predict Sports Results?

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

Read more
Tiny logo
Link to MCML at DIS 2026

12.06.2026

MCML at DIS 2026

MCML researchers are represented with 1 paper at DIS 2026.

Read more
Link to MCML PI Tom Sterkenburg Receives 2026 Simon Award

12.06.2026

MCML PI Tom Sterkenburg Receives 2026 Simon Award

Tom Sterkenburg receives the 2026 Simon Award for research at the intersection of computing, philosophy, and machine learning.

Read more
Link to MCML Members Receive IEEE/CVF CVPR 2026 DriveX Best Paper Award

12.06.2026

MCML Members Receive IEEE/CVF CVPR 2026 DriveX Best Paper Award

Daniel Cremers, Malaz Tamim and Johannes Meier received the IEEE/CVF CVPR DriveX Best Paper Award for 3D object detection in autonomous systems.

Read more
Link to Matthias Althoff Featured in Handelsblatt

12.06.2026

Matthias Althoff Featured in Handelsblatt

MCML PI Matthias Althoff co-founded Sitegeist, a startup developing autonomous robots for infrastructure repair and concrete removal.

Read more
Back to Top