3 questions for...
Prof. Dr. Sören Auer
Mentor
Prof. Sören Auer provides his expertise in semantic technologies, data networking and knowledge graphs to CAIMed. His expertise in symbolic AI research and his experience in data integration and analysis make him an important member of the team. In his position as Director of the TIB Leibniz Information Centre for Science and Technology, he focuses on developing innovative approaches for the organization of scientific contributions such as the Open Research Knowledge Graph. Research findings are currently still mostly "hidden" deep in scientific publications, so AI can only support us to a very limited extent. With a semantic organization of research contributions, we can drive scientific progress forward more efficiently and effectively.
1.
How do you see the opportunities for development in your field of research through collaboration in CAIMed?
The collaboration in CAIMed offers significant development opportunities, particularly through the integration of AI and causal methods using neurosymbolic approaches in medicine. This collaboration provides access to a wide range of data and expertise, which accelerates the development of innovative, personalized medical solutions. It also promotes interdisciplinary research, which is crucial for breakthroughs in the treatment of diseases and for improving healthcare.
2.
What potential and challenges do you see in interdisciplinary collaboration in CAIMed for your field?
With regard to the organization of medical research knowledge, the biggest challenge is to further develop or change the culture of publication. In medicine, but also in science in general, we are still working with very outdated methods of knowledge organization, which would be comparable to using maps as PDFs for navigation instead of modern navigation systems, ordering products from PDF scans of mail-order catalogs instead of modern e-commerce platforms, or reading scanned encyclopaedia pages instead of using Wikipedia.
3.
How important is collaboration between AI experts and healthcare professionals for the success of AI in medicine?
Collaboration between AI experts and medical professionals is essential for the success of AI in medicine. It enables the development of practice-relevant AI models based on real clinical needs and promotes trust in and acceptance of AI technologies in healthcare. This interdisciplinary cooperation contributes significantly to advancing patient care as well as medical research and innovation.
