FAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable

Date: Mon. November 16, 2026
Event: FAU MoD Lecture
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)

FAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable
Speaker: Prof. Dr. Ute Schmid
Affiliation: Cognitive Systems Group, University of Bamberg and Bamberg Center of Artificial Intelligence (BaCAI), Germany

Abstract. With the advance of highly performant AI systems, deep learning based classifiers and transformer based generative approaches, there is hope that human AI collaboration will support humans to master complex tasks more efficient as well as in high quality. This is especially relevant for critical tasks such as medical diagnostics or generation of program code for scientific tasks. One the one hand, AI systems need to be reliable, robust, and safe. On the other hand, humans must be able to understand, evaluate, and correct output of AI systems. In the talk, I will present neurosymbolic methods, explainable AI, and interactive machine learning as methodological challenges for successful human-AI collaboration. Furthermore, I will address the efficieny competency dilemma, that is the decline of human competencies by overdelegation to AI systems, while at the same time human expertise is crucial for human agency and oversight of AI systems.

OUR SPEAKER

Ute Schmid is head of the chair for Cognitive Systems at University of Bamberg and executive director of the Bamberg Center for Artificial Intelligence (BaCAI). She is member of the board of directors of the Bavarian Research Institute of Digital Transformation (bidt) and member of the Bavarian AI council. She is EurAI fellow and fellow of the German Computer Science Society (GI) as well as member of the National Academy of Science and Engineering (acatech). Ute Schmid dedicates a significant amount of her time to measures supporting women in computer science and since many years is engaged in AI education. For her long-standing and consistent engagement as a bridge-builder between science, education, business, and politics in the field of AI she has been honored with the DFG Commincator Award 2026.

See poster

AUDIENCE

This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.

WHEN

Mon. November 16, 2026 at 11:00H (Berlin time)

WHERE

On-site / Online

 
Shortlink to share this event: https://go.fau.de/1eabe

This event @LinkedIn

*Prof. Schmid’s photo credits: © Jürgen Schabel

 
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