AI and Data Ethics Introduction for Data Scientists

TitleTimeRoomTeacher
AI and Data Ethics Introduction for Data Scientists02.12.2025 09:15 - 17:15 (Tue)MDSI/ room 05.8120.017, Walther-von-Dyck-Str. 10; GarchingDr. Auxane Boch
Keywords: 
AI Ethics, Data Ethics, Research Ethics
Course Description: 

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.

Course aims: 

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.

Teaching methods: 

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.

This course fits doctoral candidates in the following phase: 

Beginning of/ During the doctorate

Participation requirements: 

none

Technical requirements: 

none

Course preparation: 

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.).

Additional information: 

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.

Category: 
Fachspezifische Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate Center of Computation, Information and Technology
Organizer: 
MDSI
Responsibility for event: 
Geteilte Verantwortung
Role of graduate center: 
Organisation, member management
Format: 
In Präsenz
Course Language: 
EN
Course Capacity (Max): 
13
Course capacity (Min): 
5
Duration in hours: 
7
Financial contribution: 
free of charge
Trainer: 
Dr. Auxane Boch

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.