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Plattform Lernende System – Germanys Platform for Artificial Intelligence

 

Regulating Artificial Intelligence: The AI Act of the European Union at a glance

Artificial Intelligence (AI) is a key technology for the future viability of our economy and society. However, AI systems also harbour risks. With the AI Act, the European Union (EU) has now adopted the world's first transnational set of regulations for the safe and trustworthy use of AI. In its new issue of AI at a glance, Plattform Lernende Systeme explains in a concise and clear manner what exactly is set out in the AI regulation, what opportunities and challenges are associated with the law and how the regulations are now being implemented.

 

AI in Germany: Monitoring shows status quo and potentials

What is the state of research on Artificial Intelligence (AI) in Germany? The AI Monitoring of Plattform Lernende Systeme provides key figures on the status quo and on the potential for further development of AI research and transfer in Germany.

 

Artificial Intelligence in Germany

Our detailled map of Artificial Intelligence shows where self-learning systems are developed and used in Germany.

 

3 Questions for ...

In short interviews we address experts from Plattform Lernende Systeme. They answer questions on very different aspects related to the development and responsible use of Artificial Intelligence.

BrAt82/Shutterstock
 

A brief history of AI

Our explanatory film about Artificial Intelligence illustrates various stages of technology development, milestones in AI applications and challenges that will arise in the future.

Visual Facilitators
 

Looking ahead

What are the hot topics surrounding the development of self-learning systems? Members of Plattform Lernende Systeme assess the current state of affairs.

Triff/Shutterstock
 

About the Platform

We bring together expertise from science, business, and society for positioning Germany as an international technology leader. The platform provides a forum for exchange and cooperation.

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13 Apr

First Steps Towards Your Own AI Application

 

 Postdam

Step-by-step guide to setting up your own local AI development environment (VS Code, Python, Docker, Ollama/vLLM, WSL, GitHub), no prior knowledge required, organised by the AI Service Centre Berlin-Brandenburg

13 May

Efficient Information Retrieval – Part II

 

 Potsdam

This workshop shows how data can be prepared effectively and RAG systems optimised to reliably find relevant information, organised by the KI-Servicezentrum Berlin-Brandenburg

27 May

Efficient Information Retrieval – Part IV

 

 Potsdam

This workshop shows how agentic RAG systems can be used as local, secure AI assistants – from research to workflow support, organised by the Berlin-Brandenburg AI Service Centre

10 Jun

Generative AI and Society: What is at stake?

 

 Berlin

Interdisciplinary conference on GenKI's influence on work, knowledge production, expertise, power & inequality, organised by the Weizenbaum Institute

Artificial Intelligence in Germany

Our map shows among other things, where AI is being used, which institutions are conducting research on it and where there are suitable courses of study.

Generative AI - Artificial Intelligence All-Rounder?

What can language models currently achieve, how do they work, what are the challenges? Our explanation film answers these questions.

Practical examples: AI in action

Artificial intelligence has long been suitable for practical use. Find out where and how with the help of our continuously expanding case studies.

Interview: 3 Questions for...

Tobias Hesse, Acting Director of the Road System Technology Institute at the German Aerospace Centre (DLR)

Scenario: Misuse of AI

Our current application scenario shows how attackers can be prevented from misusing an autonomous vehicle as a weapon in road traffic.

Conference Plattform Lernende Systeme 2025

Germany, a pioneer in AI research, explored key questions on AI’s applications, competitiveness, sovereignty, and societal impact at the “AI & US. Shaping the future responsibly” conference.

News

Illustration of a connected digital industrial landscape with factories, robots and smart transport routes.

AI in municipal traffic management: Clear goals determine success

Artificial intelligence (AI) is becoming increasingly important for local authorities. In traffic and mobility management, it opens up new opportunities to reduce congestion, emissions and inefficient traffic flows. However, its benefits are not determined by the technology alone. Without clearly defined municipal goals and measurable criteria, AI remains ineffective. This is the conclusion reached in a recent discussion paper by the Learning Systems Platform. The focus is on a holistic vision of AI-based traffic management for mobility systems based on the needs of local authorities. The paper offers strategic guidance on how AI can be used as a learning management tool to shape mobility in the public interest.

Read more …