392113 Biases in Artificial Intelligence (S) (WiSe 2021/2022)
Contents, comment
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Computational processing of human behavior has made great progress in the last decade and is used more and more in many academic and economic contexts. However, many systems contain problematic biases regarding gender, cultural background, age, or other personal attributes. In this seminar, you will get to know different computational methods of behavior processing and their susceptibility for different types of biases. Based on current academic paper, you will learn and discuss how to detect biases and how to make systems more robust against biases.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-KR Cognitive Computing / Kognitives Rechnen | Angewandtes Kognitives Rechnen | Student information | |
| 39-M-Inf-VKI Vertiefung Künstliche Intelligenz | Spezielle Themen der Künstlichen Intelligenz | Ungraded examination
Graded examination |
Student information |
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- 27 Students to be reached directly via email
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- Friday, August 6, 2021
- Last update times:
- Wednesday, October 20, 2021
- Last update rooms:
- Wednesday, October 20, 2021
- 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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