Type:

• Master Thesis Business Information Systems

Status:

offered

Tutor:

• M.Sc. Luca Gemballa

Abstract

While researchers have already proposed a range of methods to explain the behavior of systems using Artificial Intelligence (AI), these methods have posed their own challenges. Questions about the faithfulness and robustness of their outputs have emerged, as well as concerns about these methods being almost as opaque to end users as the original AI system. In response to these challenges, we have approached domain-specific visualizations as explanatory components of medical decision support systems. We intend to research whether more straightforward means of explanation can better fulfill the needs of medical professionals and thus support the adoption of AI in clinical practice.

To develop an improved understanding of the role of visualizations in medical decision support systems, the student conducts a series of interviews with experts on medical decision support systems during the thesis project. The interviews must be recorded, transcribed, and analyzed (e.g., via tools like MAXQDA).