The Human-Centric Machine Learning seminar course focuses on reading and presenting recent research articles in human-centric machine learning, with a particular emphasis in societal aspects of machine learning (fairness, accountability, transparency), human-AI collaboration and interpretability. The papers will cover both theoretical foundations, applications as well as empirical studies.
The seminar course is open for Master students.
Important dates:
- Kickoff meeting: 22-10-2026 Thursday, 11:00 - 12:00
- Topic selection: 27-11-2026
- Paper assignment: 04-12-2026
- Practice presentations: from 12-01-2027 to 31-01-2027
- Final presentations: throughout 02-27 and 03-27
Note: If you have any questions about the seminar, feel free to drop an email to one of the instructors.
As a student, you are expected to read and present one research paper in one of the topics of human-centric machine learning and ask questions during the presentation of a different paper in the same topic by another student. There are various topics available for you to choose from; you can find more information in the "Available Topics" section below. To help with your presentation, you will do a practice presentation in front of the instructions, where they will give you feedback.
The presentations will be scheduled on 3-4 days during the Winter semester. As a student, you are expected to attend all the presentations and actively engage in discussions.
A list of available topics and papers is available here.
You are expected to be familiar with the fundamentals of Machine Learning. Only those students who have already passed one of the fundamental Machine Learning courses during the course of their master studies will be accepted to the seminar.
After successful registration in the seminar, please rank your preferred topics by completing this form.
Make sure you rank all available topics based on your preferences by 27-11-2026.
Assignment of papers will be notified on 04-12-2026.
To be announced.
- Kickoff meeting: 22-10-2026 Thursday, 11:00 - 12:00
- Location: Building G26, Room 111.
- Dr. Manuel Gomez-Rodriguez (manuelgr@mpi-sws.org)
- Ivi Chatzi (ichatzi@mpi-sws.org)
- Ander Artola Velasco (avelasco@mpi-sws.org)
- Dimitrios Rontogiannis (drontogi@mpi-sws.org)