I am a PhD researcher at TU Dresden, supervised by Patrick Zschech.
My research interests are in interpretable machine learning, human-AI collaboration, and explainable AI. I use behavioral experiments to study how people understand and work with transparent ML systems, and whether common assumptions about interpretability actually hold up in practice. I'm currently interested in how people oversee AI agents, conversational approaches to explainability, how personalizing models to individual users affects trust and decision-making, and how different explanation scopes (global vs. local) shape users' mental models. I also work on new visualization approaches for XAI.
Before my PhD, I worked in insurance and B2B sales, studied International Information Systems at FAU Erlangen-Nuremberg and worked in product design at Allianz Global Digital Factory. Feel free to reach out at hi@julianrosenberger.com.
Full list on Google Scholar.