Date: September 16, 2025
Format: Online via Zoom, 16:00 –18:00
Description: Artificial intelligence (AI) offers many ways to support postdoctoral researchers in their work, such as finding and analyzing existing papers and identifying research gaps. However, the use of AI raises legal challenges from the perspective of European data protection law, copyright law, and other legal fields. Such intersection of AI and law creates uncertainties that can hinder effective AI-based research. This includes copyright and data protection issues that arise when uploading published papers or other materials for analysis.
This presentation aims to address and resolve these uncertainties to some extent. Key legal factors will be explained, identified, and applied to research use cases. Based on this analysis, different use cases and tools will be categorized by their "compliance probability," ranging from red to green. While this presentation cannot provide case-specific legal advice, postdocs will learn to identify "red flags" in new AI tools and understand how to adjust tool settings.
The presentation will also provide a brief overview of relevant AI tools (including the use of local tools and large language models).
Our speaker: Dr. Tristan Radtke, LL.M. (NYU), Postdoctoral researcher at the Technical University of Munich with a research focus on the intersection of AI and law, including Copyright Law, Data Protection Law, and the AI Act
Profiles: LinkedIn, ResearchGate, ORCiD
Cooperation Partner: Postdoc Appreciation Week (PAW) Germany
Registration: The talk is open to all postdocs and we do not limit the number of participants. You can register until Monday noon before the Talk via the registration form and will receive the login data shortly before the talk. For this format, there is no selection process and you do not need to inform us if you are unable to participate.