Rules for Using AI with Research Data: Lessons Learned at the FDZ Bildung
The presentation held at the Workshop “AI for Handling (Sensitive) Data in Research Data Centre Contexts: Risks, Mitigation, Training Requirements” on September 14th at GESIS in Cologne. Included are also drafts of the AI Policy in German and ENglish. The English version was translated automatically for illustrative purposes only.
Authors
- Alexia Meyermann (ORCID: https://orcid.org/0000-0002-8960-2598)
- Thomas Lösch (ORCID: https://orcid.org/0000-0002-2582-6787)
- Sonja Bayer (ORCID: https://orcid.org/0000-0002-6851-1590)
- Maike Porzelt (ORCID: https://orcid.org/0000-0002-5802-5601)
- Leoni Dörfel
Institutions
- Bielefeld University (DE)
- DIPF | Leibniz Institute for Research and Information in Education (DE)
- University of Duisburg-Essen (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-14
- DOI
- https://doi.org/10.5281/zenodo.22744583
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00