Brownbag Meeting // June 2026

The monthly Brownbag Meeting is the ECDF’s event for networking, brainstorming, connecting with colleagues, and sharing a meal. All ECDF professors, associate members and research staff, as well as their guests, are invited to attend. On June 1, 2026, the focus will be on ‘Digital Health/AI in Medicine’. We look forward to presentations by Prof. Dr. Claudia Müller-Birn on “From Translation Gap to Appropriate Reliance: Human-Centered Design of Human-AI Collaboration in Healthcare” and Dr. med. Louis Agha-Mir-Salim  on “The Missing Layer: Clinician-Centered Documentation for AI in Medicine”.

 

The Brownbag Meeting is an in-person networking event. New: From June onwards, those who cannot attend the ECDF or are not based in Berlin will have the option to participate online. A Zoom link will be provided with the meeting invitation in calendar week 22. We will also be presenting further updates to the ECDF Brownbag Meeting format on June 1, 2026. The language of the event will be English. 

 

Abstracts:

Claudia Müller-Birn: "From Translation Gap to Appropriate Reliance: Human-Centered Design of Human-AI Collaboration in Healthcare"

Although AI can achieve impressive results in controlled settings, it often fails in real-world clinical practice because technical capabilities have been prioritized over the human aspect. This prioritization positions humans as passive supervisors rather than active agents. Three lines of research illustrate this phenomenon. First, uncertainty information only improves human-AI team performance when combined with capability-focused guidance. Second, active reflection interfaces yield more value-congruent decisions than passive alternatives. Finally, while empathy is a critical design element, it can reduce AI accuracy and undermine appropriate reliance. When AI design focuses on the system rather than the human, appropriate reliance fails. Instead, it requires an understanding of users' cognitive, emotional, and social realities, as well as AI that supports human judgment rather than substitutes for it. The talk concludes with a research agenda on designing AI that enables humans and AI to achieve together what neither could alone.

 

Louis Agha-Mir-Salim: „The Missing Layer: Clinician-Centered Documentation for AI in Medicine"

As AI-based clinical decision support systems enter routine care, a critical question emerges: do clinicians have the information they need to use these tools appropriately? Existing AI documentation frameworks, such as Model Cards, were not designed for point-of-care use. This talk presents the Clinician Model Card, developed through a sequential exploratory mixed-methods study combining qualitative co-design with physicians and a national survey across Germany.