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.

 

Artificial Intelligence is a key technology that ensures the future viability of our economy and society. It supports sustainable development, safe mobility and personalized medicine. In order for the potential of artificial intelligence to benefit people in everyday life and the world of work, we must make its use trustworthy. Plattform Lernende Systeme, through its high-level members, is identifying areas for action in this regard.

Jan Wörner
President of acatech – German Academy of Science and Engineering

 

 

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.

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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.

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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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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...

Uta Wilkens, Professor of Computer Science at the Karlsruhe Institute of Technology (KIT) and Director of the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB.

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.

Political strategies for AI

What steps are politicians taking in the face of the disruptive changes heralded by Artificial Intelligence? An overview of the AI strategies of selected countries.

News

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Creating value with AI: Use cases on opportunities and challenges in the use of AI in companies

Artificial intelligence (AI) can be used to make operational processes more efficient, improve products or services and develop new business models. A current white paper from Plattform Lernende Systeme explores the question of how AI can be used successfully to create added value for companies, employees and customers. Using practical examples from various industries, the authors show how AI projects can address economic and social goals in equal measure and what role interdisciplinary collaboration plays in this.

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Best practice: AI in action