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: 21-10-2025 Tuesday, 15:00 - 16:00
- Registration deadline: 31-10-2025
- Acceptance notification: 06-11-2025
- Topic selection: 27-11-2025
- Paper assignment: 04-12-2025
- Practice presentations: from 12-01-2026 to 31-01-2026
- Final presentations: throughout 02-26 and 03-26
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.
Fill out this form here
You are required to enter your name, email address, student number and the list of the courses from the "intelligent systems" specialization that you have already passed, along with your obtained grade. We consider that you are fit for the seminar if you are a master's student and have passed courses on the fundamentals of machine learning with a satisfactory grade.
There are a limited number of research topics available, so our registrations are also limited. The final list of accepted registrations will be notified via email.
Deadline: 31-10-2025
Acceptance notification for the course will be sent by email on or before 06-11-2025.
- Kickoff meeting: 21-10-2025 Tuesday, 15:00 - 16:00
- Location: Building G26, Room 111.
- Dr. Manuel Gomez-Rodriguez ([email protected])
- Ivi Chatzi ([email protected])
- Eleni Straitouri ([email protected])
- Nastaran Okati ([email protected])
- Dr. Suhas Thejaswi ([email protected])