The event has been postponed.
New Time: 30.01.2026, 10:00 - 11:00
Place: Webex Webinar
Speaker: Dr. Jonas Mirbeth (kiz, Uni Ulm)
Answers to the increasingly concentrated use of research results as training data for artificial intelligence
Open Access stands for free access to (scientific) information - and thus for the long-term, sustainable preservation and transmission of human knowledge and cultural heritage, independent of economic interests. Open Access strengthens resilient research. In the fields of medicine, natural sciences and technology, the computer-aided analysis and processing of large amounts of data from publications that are available under open licenses makes it possible to search for patterns and correlations. The humanities and social sciences are driving forward science-led publishing in Diamond Open Access.
In addition to the financial challenges, the discussion about artificial intelligence is playing an increasingly important role in the open access transformation. The fact that open access content can be used to train large language models raises uncertainties and concerns about the use of intellectual property. Nevertheless, there are many arguments against going back to closed access publication. This is because once the exclusive rights of use have been transferred to the publisher, the publisher often has the sole right to use it to train or sell to train language models. This hinders the competition of ideas. Open access content prevents the monopolization of knowledge by individual corporations from increasing.
The presentation takes up this current question and formulates answers to the increasingly concentrated use of research results as training data for artificial intelligence. These answers are aimed at building scalable open research infrastructures in which the rights to the research output remain entirely in the hands of the scientists – strategies the presentation will address include:
- involvement of the scientific community,
- involvement of the management levels at universities,
- strengthening the topic in research funding,
- enabling technical standards (APIs, database systems, PIDs).
Following a presentation given by the speaker in English, there will be time for your questions and discussions. The oa.talk is aimed at all members of the scientific community who have interests and concerns regarding the increasing presence of AI in Open Science practices.
Registration is not required. The link to the Webex conference will be published no later than one week in advance.
If you have any questions about the event, please contact us at publikationsberatung@tib.eu. We look forward to your participation!