
Ars Boni Ars Boni 614 KI in juristischen Prüfungsarbeiten (Dr.in Julia Möller-Klapperich)
Feb 5, 2026
Julia Möller-Klapperich, academic director at Freie Universität Berlin and researcher on legal education and AI. She presents draft AI guidelines for written law assessments. The conversation covers why guidelines are needed, how to document AI use, limits of AI-detection, balancing teaching goals with practice, and practical procedures when misuse is suspected.
AI Snips
Chapters
Transcript
Episode notes
Define Scientific Standards First
- Julia Möller-Klapperich argues universities must define what scientific standards they test before policing AI use.
- Transparency and traceability of sources remain core criteria to judge scholarly work despite AI tools.
Require Source Transparency
- Require students to cite where ideas and formulations come from, including AI-assisted inputs and applications used.
- Insist on source transparency to limit opaque, platform-driven direction of scholarly arguments.
Students Rely On AI Summaries
- Students increasingly rely on AI summaries and often skip original texts or legal argumentation.
- Julia observed this trend in seminars where summaries supplanted engagement with primary sources.

