Nicolas Scharowski, M.Sc.

Forschungsschwerpunkt Mensch-Maschine Interaktion

Picture of Nicolas Scharowski, M.Sc.
Assistent / PhD Student


Tel.+41 61 207 05 64

01.012 (HH)
Missionsstrasse 62a
4055 Basel

Research Interest

My research interest focuses on human-centered AI. A major challenge in this area is that with an increasing complexity of AI systems, their predictions and decisions are not always fully explainable to users. How can transparency, a requirement for the responsible use of AI, nevertheless be ensured and which user needs (e.g. usability, trust, etc.) are thereby taken into account? Such questions fascinate me and are a focus of my research.


Conference Proceedings

  • Scharowski, N., Benk, M., Kühne, S. J., Wettstein, L., & Brühlmann, F. (2023). Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study. Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 248–260.
  • Scharowski, N., Perrig, S. A. C., Svab, M., Opwis, K., & Brühlmann, F. (2023). Exploring the effects of human-centered AI explanations on trust and reliance. Frontiers in Computer Science.
  • Scharowski, N., Perrig, S. A. C., von Felten, N., & Brühlmann, F. (2022). Trust and Reliance in XAI–Distinguishing Between Attitudinal and Behavioral Measures. CHI 2022 TRAIT Workshop on Trust and Reliance in AI-Human Teams.
  • Scharowski, N., Opwis, K., & Brühlmann, F. (2021). Empirical hints of cognitive biases despite human-centered AI explanations. CHI 2021 Workshop: Operationalizing Human-Centered Perspectives in Explainable AI.


  • Scharowski, N. (2020). Transparency and trust in AI: Measuring the effect of human-friendly AI explanations on objective and subjective trust.


  • Scharowski, N. (2018). Gamification: From emerging conceptualization to coexisting explanatory models in the context of education.