01.08.2025
MCML Hosts “AI and School in Dialogue”
How Can Schools Prepare the Next Generation for an AI-Driven World?
This week, the Munich Center for Machine Learning hosted the event „KI und Schule im Dialog – Forschung, Bildungspolitik und Unterrichtspraxis” (AI and school in dialogue - research, education policy and teaching practice).
Participants discussed practical approaches to integrating AI in schools, focusing on empowering teachers and schools to use AI effectively and responsibly. Topics included AI competence development, teacher training challenges, curriculum adaptation, and the importance of cooperation between research, education policy, and schools.
The event brought together stakeholders from several institutions, including the Didactics Institute and the Mathematics Department at the University of Augsburg, the Bavarian State Ministry of Education, the Bavarian State Institute for School Quality and Education (Bayerisches Staatsinstitut für Schulqualität und Bildungsforschung), the Helmholtz Association, TüftelLab, LMU, TUM, and MCML. From MCML, Moritz Herrmann, Steffen Schneider as well as Director Bernd Bischl provided insights.
The event emphasized the need for accessible learning formats, professional development, and establishing sustainable structures to embed AI learning in schools.
We are looking forward to continuing our collaboration with all involved institutions to support AI education in Bavaria and beyond.
Related
©Juli Eberle / TUM / ediundsepp Gestaltungsgesellschaft
04.12.2025
World’s First Complete 3D Model of All Buildings Released
Xiaoxiang Zhu’s team releases GlobalBuildingAtlas, a high-res 3D map of 2.75B buildings for advanced urban and climate analysis.
04.12.2025
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.
28.11.2025
MCML at NeurIPS 2025
MCML researchers are represented with 46 papers at NeurIPS 2025 (37 Main, and 9 Workshops).
27.11.2025
Seeing the Bigger Picture – One Detail at a Time
FLAIR, introduced by Zeynep Akata’s group at CVPR 2025, brings fine-grained, text-guided detail recognition to vision-language models.