Home  | News

01.08.2025

Teaser image to MCML Hosts “AI and School in Dialogue”

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.


AIandSchools1
AIandSchools2
#event #research #outreach

Related

Link to How Should Researchers Report Their Use of LLMs?

10.06.2026

How Should Researchers Report Their Use of LLMs?

Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.

Read more
Link to Benjamin Lange: The Real Risk of AI Agents is Manipulation Through Kindness

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

Read more
Tiny logo
Link to MCML at CVPR 2026

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

Read more
Tiny logo
Link to MCML at ICRA 2026

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

Read more
Link to Zeynep Akata: To Trust AI, We Need to Understand What Goes On Behind the Scenes

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Read more
Back to Top