AI agents such as advanced personal assistants are rapidly moving from concept to deployment. With their autonomous ability to plan, act, and interact socially on behalf of users, these systems raise pressing ethical and societal questions.
This event brings together researchers and the public to discuss the real-world implications of deploying such agents and the practical ethical challenges that are already emerging.
Key questions that will be addressed
- How do we prevent AI agents from manipulating users?
- How do we govern AI agents that may act on behalf of individuals but impact society at large?
- What role does personalisation play, and when does it become problematic?
- How can we evaluate and regulate AI agents embedded in social, economic, and political systems?
Who should attend?
The event is for researchers, practitioners, students, and anyone curious about the ethical dimensions of AI agents.
Speakers & Moderation
The discussion will be moderated by Johannes Büchs, journalist and television presenter known from Die Sendung mit der Maus: https://www.johannesbuechs.de/
Prof. Dr. Gitta Kutyniok (LMU Munich)
Gitta Kutyniok is a renowned mathematician and AI researcher, holding the Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at LMU Munich. Her work bridges mathematics, data science, and machine learning, with a focus on explainable and reliable AI systems: https://www.ai.math.uni-muenchen.de/members/professor/kutyniok/index.html
Prof. Dr. Lena Kästner (University of Bayreuth)
Lena Kästner is Professor of philosophy, computer science and artificial intelligence at the University of Bayreuth. Her research explores the philosophy of AI and cognitive science, focusing on machine learning, models of cognitive systems, mental illnesses, causation, and scientific discovery and experimentation: https://www.phil.uni-bayreuth.de/en/people/kaestner/index.php
Prof. Dr. Barbara Plank (LMU Munich)
Barbara Plank is Professor of AI and Computational Linguistics at LMU Munich. Her research focuses on robust, domain‑adaptive natural language processing, with current work on learning under bias, continual learning, and multimodal language understanding: https://bplank.github.io/
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