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Developments over the past two and a half years clearly show that artificial intelligence (AI) will affect and significantly change all areas of higher education. This applies in particular to university teaching and thus to the production of teaching and learning materials. Since it is now possible to create teaching and learning materials at the touch of a button with just a few prompts, and since this content is then considered to be in the public domain – unless creative prompt chains and independent post-processing achieve a level of creativity that establishes individual copyright – questions arise about the impact of these developments on Open Educational Resources (OER):

Will teaching and learning materials be generated primarily by generative AI tools in the future?
If so, will CC licences still be necessary if AI-generated content is largely in the public domain?
In this case, are OER repositories still the right place to store this public domain content in the long term, or will open LMSs increasingly be used for this purpose?
What contribution can OER and corresponding repositories still make to open education in the future?
Or are OER perhaps the ideal basis for copyright-compliant training of LLMs or enrichment via RAG solutions in order to contribute to improving the quality of AI-generated content?
And how can the use of AI promote the development and dissemination of OER?

We will address these and other questions in lightning talks and an in-depth dialogue between Dr Sandra Schön and Prof. Dr Malte Persike. Participants are cordially invited to join in the discussion in the second part of the conversation.