Skip to main content
NFDIxCSBlog Post

Unpacking the EU AI Act: A Guide for the Research Community

This four-part blog series looks into the implications of the EU AI Act for the research community, beginning with an exploration of its regulatory scope and key definitions that set the foundation for its comprehensive framework.

Written by Patrick Brunner, Editorial Editing by Ariana Dongus

Legal expert and member of NFDIxCS consortium Patrick Brunner (FIZ Karlsruhe) discusses key aspects of the EU AI Act that impact researchers, breaking down its concepts, exemptions, and practical implications

1. Unpacking the EU AI Act: Key Concepts and What They Mean for Researchers lays the groundwork by exploring the Act’s foundational concepts, including definitions of AI systems and General-Purpose AI models, clarifying what falls under its scope.

2. Navigating Open-Source AI: A Foundation for Research? investigates how AI systems provided as free and open-source software fit within the Act’s framework and what this means for the research community.

3. AI for Science: Exploring Research-Driven Exemptions in the EU AI Act focuses on exemptions for AI systems dedicated solely to research and development, examining the Act’s intent to promote scientific progress.

4. Commercializing AI Systems: Obligations and Classifications concludes the series with an in-depth look at the Act’s approach to "placing on the market" and "putting into service" activities, along with the responsibilities tied to these actions.

This series aims to provide researchers with a better understanding of the EU AI Act and its implications for their work. Whether you are sharing your work through open repositories, or applying AI in your own research, this guide can help you navigate the evolving regulatory environment.

For further information on the topic, we recommend watching Patrick Brunners lecture (in German) during one of our Mini Soiree, a format where researchers in the NFDIxCS community present their work and discuss pressing issues, challenges and ideas around research data, software management, and beyond.