PhD fellow Luka Poslon from the Digital Healthcare Ethics laboratory (Digit-HeaL) attended this year’s Summer School Trust and Machine Learning in Stuttgart from July 26 to July 28, 2023. The summer school was organised by the High-Performance Computing Center (HLRS) at the University of Stuttgart.

The topic of the summer school was related to trust in Machine learning methods that have come into the spotlight due to the emergence of ChatGPT, the appearance of autonomous vehicles and the traffic accidents they caused, and due to efforts to regulate the pressing issues of artificial intelligence. Trust plays a central role in assessing the possible consequences of machine learning methods.

The summer school was divided into several different sessions. The first session was related to practical teaching and learning to code simple AI applications. The second session was devoted to understanding the ethical and normative aspects of trust in the context of machine learning. The third session was about the epistemological aspect of trust in inductive machine learning methods.

In addition to participating in the sessions as mentioned earlier, our PhD student Luka gave a presentation entitled Outpacing the Trustworthiness in LLM Use in Medicine by Addressing Opacity and Enhancing Explainability, in which he discussed the difficulties in using large language models in medicine as well as the effects of the “black box” problem and lack of explainability.

The lecturers of the summer school were: Andreas Kaminski, Sebastian Hallensleben, Nic Fillion, and Tom Sterkenburg. You can find more information about the summer school at the link.