| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| Introduction to AI Ethics | 24.10.2025 09:00 - 17:00 (Fr) | TUM Graduate School: Boltzmannstr. 17, 85748 Garching bei München, Room 101 | Auxane Boch & Dr. Franziska Poszler |
Artificial intelligence (AI) is playing an increasingly prominent role across various domains such as healthcare, mobility, and education. Along its benefits, AI also raises complex ethical and societal issues.
This seminar offers an introduction to some of the key ethical challenges and opportunities presented by AI. Existing guidelines and practical recommendations for the responsible design and use of AI systems will be explored. Special attention will be given to issues of diversity and fairness in AI programming, the psychological impact of AI systems, and the importance of value-sensitive design and AI literacy.
The seminar is structured around the following topics:
- Ethics and Diversity in AI – an introduction to AI ethics, covering theoretical foundations and thinking, cultural considerations, and the imperative of diversity and inclusion.
- Operationalizing Ethical Principles – a deep dive into a use case involving autonomous vehicles.
- Psychology and AI – an introduction to the ethical, psychological, and cultural impacts of AI systems, equipping doctoral candidates to critically assess how technologies like social robots and immersive media shape human experience and society.
- The Impact of AI on Decision-Making – a deep dive into a use case involving LLM-based chatbots as moral dialogue partners.
After this seminar, participants will be able to:
- Describe fundamental concepts in psychology and ethics, and explain how they relate to AI systems
- Identify and articulate ethical opportunities and challenges associated with AI
- Apply traditional ethical theories to the design of AI systems
- Analyze how AI systems can shape human ethical decision-making
- Engage in critical discussions and propose solutions to current ethical issues in AI development and use
The seminar combines instructor-led lectures with visually supported PowerPoint presentations to introduce and explain key concepts. To encourage active learning, participants will critically engage with the material through interactive methods, including open discussions and group work using case studies.
At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate
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Interesting – but not required – introductory readings:
- Bartneck, C., Lütge, C., Wagner, A., & Welsh, S. (2021). An introduction to ethics in robotics and AI (p. 117). Springer Nature.
- Auxane Boch, Bethany Rhea Thomas; Human-robot dynamics: a psychological insight into the ethics of social robotics. International Journal of Ethics and Systems 30 January 2025; 41 (1): 101–141. https://doi.org/10.1108/IJOES-01-2024-0034
- Nyholm, S. (2022). This is technology ethics: An introduction. John Wiley & Sons.
- Poszler, F., & Geißlinger, M. (2021). AI and Autonomous Driving: Key ethical considerations. Institute for Ethics in Artificial Intelligence, Technical University of Munich, 1-7.
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Auxane Boch is a postdoctoral researcher at the Institute for Ethics in Artificial Intelligence (IEAI) at TU Munich. Her work focuses on the ethical and psychological impacts of interactional technologies like social robots and video games. She coordinates the doctoral network "alignAI" and co-leads the Immersive Realities Working Group at the TUM Think Tank. Auxane is also active in science communication and advocacy, serving as an ambassador for Women in AI Germany and Women in Games.
Franziska Poszler-Krauskopf is a postdoctoral researcher at the Chair Philosophy of Media and Technology, University of Vienna. Previously, she has completed her doctorate on “Integrating ethical principles into AI systems: Practical implementation and societal implications” at the Institute for Ethics in AI, Technical University of Munich. Her research focuses on AI ethics, value-sensitive design, moral psychology, and science communication. She has worked on interdisciplinary projects involving autonomous vehicles, AI chatbots, and research-based theatre.