Recommendations on AI in research and teaching

The use of artificial intelligence also raises questions for good academic practice. Recommendations offer guidance.

AI in teaching

Humboldt-Universität zu Berlin is working on making AI usable for teaching through various projects. The university has successfully applied to the nationwide funding competition for AI in teaching and learning. Together with four other Berlin universities, it is developing innovative concepts for using AI in teaching. Funded by the federal-state initiative, new AI modules, degree programmes and digital learning environments are being created to qualify specialists and improve higher education.

Trustworthy AI tools from HU

All AI services offered by Humboldt-Universität zu Berlin are trustworthy AI systems: they comply with legal requirements, meet GDPR standards, do not store any input or output data, do not use input data for training purposes, and are operated exclusively within HU. HU strongly recommends the use of these or other trustworthy AI systems.

Tools and guidelines

Overview of the most important guidelines and HU-internal AI tools.

Further recommendations and guidelines for dealing with AI

The university publisher of the Berlin University Alliance "Berlin Universities Publishing" (BerlinUP) has published a guideline on dealing with artificial intelligence (15 May 2024)

Latest news

Results 1 to 4 of 6

For higher education, the introduction of generative AI means more than just technical and procedural adjustments; it touches on the very heart of academic thinking and requires a fundamental re-evaluation of positions.

The European Commission has updated its "Living Guidelines". These provide guidance on the responsible use of AI systems in research.

The AI-Lotse by the German Rectors' Conference (HRK) offers support to universities on various areas of the use for AI systems.

The DFG has published a explanatory video on YouTube explaining how AI may be used in the context of peer review.