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
26.08.2026
Transparency for Global Health Aid
MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.
25.08.2026
David Rügamer: We Need Uncertainty Quantification
MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.