Data & AI Ethics

The Data & AI Ethics Workshop aims to bring together researchers from a range of disciplines who are concerned with current ethical questions surrounding data. From data science, machine learning, and statistics, to ethics and philsophy, to the social sciences and the humanities – we welcome all areas engaging with data and data ethics.

In the age of data-driven research and decision-making, questions of data ethics are as important as ever. Moreover, with the growing influence of artificial intelligence, new challenges are emerging and some old questions take on renewed urgency. Thus, this workshop also asks: how does AI ethics intersect with, and inform, data ethics? 

Through invited talks, keynotes, and ample time for discussion, the workshop will offer space for dialogue about data ethics across disciplinary boundaries. We especially aim to foster exchange among communities that do not often have the opportunity to meet – and invite anyone interested in these topics to join the conversation.

Some of themes and questions that we hope to explore during the workshop can be found here.

At a glance

Where Munich, Germany (in person)

What Series of talks (each circa 20 minutes + 10 minutes discussion). The program will be published later.

When November 14, 2025 (full day)

Talks and Submissions

If you would like to present at the workshop, please send your topic and abstract to epix.workshop@stat.uni-muenchen.de by September 21, 2025. However, submissions are considered on a rolling basis, and presentation slots may be filled before the deadline, so we encourage you to reach out as early as possible. If you are interested but slightly unsure about how to tailor your talk to the workshop, we are happy to work with you.

Location

The workshop will take place in Munich, Germany, near the main buildings of LMU Munich and the Technical University of Munich.

Registration and Workshop Fees

The workshop is free of charge, but registration is required.

Please register here until November 1, 2025. As slots are limited, please let us know if you have registered but no longer plan to attend.

Acknowledgments

The organizers are grateful to the Munich Center for Machine Learning (MCML), the research project "Green Data, Indicators, Algorithms: Connecting Green Finance and Smart Cities" (GreenDIA), the GraduateCenterLMU, the LMU Open Science Center (OSC), as well as LMU Munich and TU Munich for their support.

Contact

If you have any questions, please do not hesitate to contact epix.workshop@stat.uni-muenchen.de.