392141 Empathic Artificial Intelligence (Interactive/Multimodal Journal Club) (S) (SoSe 2024)
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This class explores how artificial intelligence is applied to understand and respond to human inner states, such as stress, boredom or emotions. On the technological front, we will explore a diverse set of approaches, including supervised, unsupervised and reinforcement methods. The seminar will also cover the concept of xAI, used to make AI decisions more accessible to humans. The methods will be contextualized by discussing applications from recognizing emotions to understanding mental health and human-machine interactions.
Each chapter of the seminar will start by giving a short introduction to the relevant concepts to ensure that the students are best equipped to understand the research articles. Credits are earned through paper presentation, written review submissions, and active participation in discussions. The seminar will provide a platform to critically discuss the technological, ethical and societal aspects of using AI through the lens of academic context.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| weekly | Di | 14-16 | CITEC 3.220 | 08.04.-19.07.2024 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-EGMI Ergänzungsmodul Informatik | vertiefendes Seminar 1 | Ungraded examination
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Student information |
| vertiefendes Seminar 2 | Ungraded examination
|
Student information | |
| vertiefendes Seminar 3 | Ungraded examination
|
Student information | |
| vertiefendes Seminar 4 | Ungraded examination
|
Student information | |
| 39-M-Inf-AI-adv Advanced Artificial Intelligence | Advanced Artificial Intelligence: Seminar 2 | Graded examination
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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.
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- Coverage:
- 19 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
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- Last update basic details/teaching staff:
- Friday, January 19, 2024
- Last update times:
- Wednesday, November 29, 2023
- Last update rooms:
- Wednesday, November 29, 2023
- 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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