392133 Human-Centric Machine Learning (S) (SoSe 2024)
Contents, comment
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Human-Centric Machine Learning concerns the design of machine learning algorithms and models for interaction with humans in real-world scenarios. The seminar will cover foundational and current research on human-centric machine learning topics, namely explainability, interpretability, fairness, and interactive machine learning. We will discuss definitions, methods for achieving human-centric machine learning, and practical application cases. Students will be expected to
1) give a presentation on one subtopic of the seminar, 2) actively participate in discussing the presentations of other students, and 3) write an essay of 5-15 pages on their topic.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Mi | 14-16 | V2-213 | 08.04.-19.07.2024
not on: 5/1/24 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-EGMI Ergänzungsmodul Informatik | vertiefendes Seminar 1 | Ungraded examination
|
Student information |
| vertiefendes Seminar 2 | Ungraded examination
|
Student information | |
| vertiefendes Seminar 3 | Ungraded examination
|
Student information | |
| vertiefendes Seminar 4 | Ungraded examination
|
Student information | |
| 39-Inf-WP-IG Informatik & Gesellschaft (Basis) | Einführendes Seminar | Student information | |
| - | Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
E-Learning Space
A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:
This course has a video conference. Details will be displayed to you as a participant of this course. For an event with participant management, you must also be registered as attending by the teaching staff.
- Registered number: 17
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- SS2024_392133@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_450578019@ekvv.uni-bielefeld.de
- Coverage:
- 17 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 4
- Open email archive
- Last update basic details/teaching staff:
- Thursday, May 2, 2024
- Last update times:
- Friday, February 2, 2024
- Last update rooms:
- Friday, February 2, 2024
- Type(s) / SWS (hours per week per semester)
- S / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=450578019
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- ID
- 450578019