| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| AI and Data Ethics Introduction for Data Scientists | 02.12.2025 09:15 - 17:15 (Di) | MDSI/ room 05.8120.017, Walther-von-Dyck-Str. 10; Garching | Dr. Auxane Boch |
Data scientists are pivotal in designing and implementing systems that impact society. This course provides a foundational understanding of ethics tailored to data scientists' specific challenges. Participants will explore how ethical principles intersect with technical processes, equipping them to create responsible and inclusive data-driven solutions.
This course is designed specifically for data scientists who work with data and/or data-driven technologies and artificial intelligence systems.
· Understand the ethical dimensions of their work, including fairness, transparency, and accountability.
· Navigate complex ethical challenges in data collection, analysis, and application.
· Incorporate ethical principles into their daily workflows, whether building algorithms, analysing data, or collaborating within teams.
· Stay informed about European ethical standards, such as the ones underlying the GDPR and the AI Act, which directly impact their projects and responsibilities.
An intensive, one-day workshop introducing participants to core concepts in AI and data ethics. The course includes both theoretical exploration and practical exercises to prepare participants for real-world ethical challenges in data science.
Beginning of/ During the doctorate
none
none
Please submit to the lecturer (bochauxane@gmail.com) at least a week before the lecture one or two project works that might carry ethical considerations (e.g., personal data use, AI development based on vulnerable populations data, etc.).
Course Procedures
The workshop will include lectures, group discussions, and hands-on activities. Participants are expected to actively engage, particularly during group work and presentations.
Assessment
This course is assessed 100% through participation in group work and presentations.
Participation in all sessions is mandatory.
Auxane Boch is a cyberpsychologist and AI-ethics researcher examining the psychological impacts of interactional systems - AI as social agent, social robots, video games, and immersive XR. Based at the Technical University of Munich’s Institute for Ethics in AI, she coordinates the EU-funded MSCA doctoral network alignAI, driving cross-disciplinary training, policy engagement, and industry collaboration. She is a Friedrich Schiedel Fellow and co-leads the Immersive Realities working group at the TUM Think Tank. Auxane also volunteers as a Women in Games ambassador, Women in AI Germany ambassador, and WAILabs researcher and psychology lead.