As in many professional fields, the question arises in science as to what a future division of labour between AI and scientists could and should look like. With their 'AI Scientists', Lu et al. (2024) promise a fully automated research process carried out solely by large language models. The AI scientist works faster and more cost-effectively than the human counterpart, but so far also without taking (research) ethical concerns into account. In conclusion, the most likely and desirable outcome does not seem to be the abandonment of humans in research, but rather cooperation between AI and human scientists. AI could take over routine and painstaking work and serve as a brainstorming partner. There would be great potential here for all disciplines; the exact form should be set out in subject-specific guidelines.

This talk is held in English and is part of the HeFDI Data Week 2025.

The HeFDI Data Week 2025 offers a total of twelve inputs and workshops on data management over three days - this time with a focus on artificial intelligence and data, legal issues and disciplinary tools! The events are accessible online and free of charge. They are aimed at researchers, teaching staff, students and anyone who wants to learn more about FAIR data and code, practical tools and available services. The latest developments and associated challenges will be presented and discussed with service providers and users alike.

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