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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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26 Jan

Implementation of the Data Act

 

 Virtual

Workshop on guidelines for selected definitions in the Data Act, for public authorities, companies, lawyers, scientists and organisations, organised by the EU Commission.

27 Jan

Apply AI sectoral deep dive - robotics & manufacturing

 

 Virtual

This webinar sheds light on ways to promote the development and use of AI-based solutions in industrial automation, human-robot interaction and digital twins, organised by the EU

28 Jan

Info day and brokerage event: AI – Data – Robotics

 

 Brussels and virtual

The focus is on the areas of AI, data and robotics within the Horizon Europe Cluster 4 (Digital, Industry and Space) and the Digital Europe Programme, organised by the EU Commission

12 Feb

First Steps Towards Your Own AI Application

 

 Potsdam

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

10 Mar

RoboCup German Open 2026

 

 Cologne

Leading researchers, students and young talents bring the future of robotics and AI to life in exciting competitions and specialist conferences organised by the RoboCup Committee Germany

13 Mar

First Steps Towards Your Own AI Application

 

 Potsdam

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 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

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...

Stefanie Schwaar, Head of the junior research group ‘EP-KI: Decision support for business processes using new AI methods’ at Fraunhofer ITWM

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

People on a blue background, connected to a digital assistant in the centre.

Generative AI and its consequences for society: perspectives on actively shaping the future

Generative artificial intelligence (AI) is rapidly changing our society. Applications such as ChatGPT, Gemini and DeepSeek create realistic-looking images, compose music, conduct human-like conversations and translate almost in real time. Generative AI is thus not only shaping how we work, learn and communicate, but also increasingly how we as a society understand knowledge, creativity and responsibility. At the same time, however, its use raises social and ethical questions: How can human competence remain at the centre? How can we ensure authenticity and trust when AI content appears deceptively real? And what rules are necessary to combine innovation with fundamental ethical values, sustainability and social justice? The new brochure from Plattform Lernende Systeme shows how a value-oriented approach to generative AI can succeed and provides guidance, perspectives for action and food for thought.

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