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DTSTART;TZID=Europe/Berlin:20261116T110000
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SUMMARY:FAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable
DESCRIPTION:Date: Mon. November 16, 2026\nEvent: FAU MoD Lecture\nOrganized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nFAU MoD Lecture: Trustworthy AI: Reliable, Explainable, Revisable\nSpeaker: Prof. Dr. Ute Schmid\nAffiliation: Cognitive Systems Group, University of Bamberg and Bamberg Center of Artificial Intelligence (BaCAI), Germany\nAbstract.  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.\nOUR SPEAKER\nUte 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.\n\nSee poster\nAUDIENCE\nThis is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.\nWHEN\nMon. November 16, 2026 at 11:00H (Berlin time)\nWHERE\nOn-site / Online\n[On-site] Friedrich-Alexander-Universität Erlangen-Nürnberg.\nRoom H13. Johann-Radon-Hörsaal\nCauerstraße 11, 91058 Erlangen\nGPS-Koord. Raum: 49.573764N, 11.030028E\n[Online]\nhttps://www.fau.tv/clip/id/63064\n \nShortlink to share this event: https://go.fau.de/1eabe\nThis event @LinkedIn\n*Prof. Schmid’s photo credits: © Jürgen Schabel\n \nYou might like:\n• FAU MoD Lectures\n• Upcoming events\n• FAU MoD Courses & Workshops\n• MLPDES26, Machine Learning and PDEs Workshop (2026)\n• FAU MoD Lecture:  Reverse typography and the theory of shape: Can old books be brought back to life? by Prof. Dr. Jean-Michel Morel\n• FAU MoD Lecture: A data-driven approach to closed-loop control of wound state progression to drive healing outcomes by Prof. Dr. Marcella M. Gomez\n• FAU MoD Lecture: Data Driven Modeling for Scientific Discovery and Digital Twins by Prof. Dr. Dongbin Xiu\n• FAU MoD Lecture: A long life: How desirable is it, evolutionarily speaking? by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: Bridging numerics and scientific machine learning for industrial applications by Dr. Christopher Straub\n• FAU MoD Workshop: FAU MoD Workshop (Dec. 2025) by Prof. Giovanni Fantuzzi | Prof. Denisa Martonova\n• FAU MoD Lecture: Quantum firmware: optimal control for quantum processors by Prof. Dr. Tommaso Calarco\n• FAU MoD Lecture: AI Components in PDE Solvers by Prof. Dr. Nils Thürey\n• FAU MoD Lecture: Disruption in science and engineering happens at scale by Prof. Dr. Johannes Brandstetter\n• FAU MoD Workshop: FAU MoD Workshop (Sep. 2025) by Prof. Lorenzo Liverani | Prof. Hagen Holthusen\n• FAU MoD Lecture: Exemplary applications of machine learning and optimization in quantum chemistry by Prof. Dr. Andreas Görling\n• FAU MoD Lecture & workshop: AI for maths and maths for AI by Dr. François Charton\n• FAU MoD Lecture: Optimization-based control for large-scale and complex systems: When and why does it work? by Prof. Dr. Lars Grüne\n• FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes by Prof. Dr. Ana Martin-Villalba\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n  \n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://mod.fau.eu/events/fau-mod-lecture-trustworthy-ai-reliable-explainable-revisable/
ORGANIZER;CN=FAU MoD:MAILTO:
CATEGORIES:FAU MoD lecture,Seminar/Talk
LOCATION:FAU On-site / Online
ATTACH;FMTTYPE=image/png:https://mod.fau.eu/wp-content/uploads/FAUMoDLecture_uSchmid_16nov2026.png
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