This paper is somewhat different from how we usually publish our papers today. In a certain way, it is the working-life balance sheet which is dealing with several decades of AI and Automation research and development. Thus, the views on AI in this paper might be somewhat different from the views of many other colleagues who have been entering into this field of AI research and development more recently. Actually, our team started on such research about 1974, at the RWTH Aachen University in Germany. Around the year 1984, our team became part of the then new Department of Computer Science in Mechanical Engineering. From then onwards, we had been for several decades cooperatively involved in research and development of AI at the RWTH Aachen, and we have continued our active commitment for AI up to today.
Within a few years from the start, this department had become one of the largest and one of the leading interdisciplinary research departments in German universities – and well beyond Germany. Around the year 2010, it employed up to 50 full-time research staff. Our researchers came from engineering and natural sciences as well as from social sciences and humanities. These interdisciplinary research teams integrated senior researchers, PhD and graduate students, undergraduates, and the support staff.
This paper describes our approach to research and development in Automation and AI as it was based on the concept of interdisciplinary cooperation. The following question was developing fundamental weight for our research at Aachen, from the start of our department:
How can we create automated systems which can do things as well as ourselves or even better than ourselves, their creators?
Citation: Brandt, D. & Bischoni, L. (2026). Can We Go On Trusting AI?. Int J Math Expl & Comp Edu.3(1):1-9. DOI : https://doi.org/10.47485/3069-9703.1026