Responsible AI Lab - Übung 2
Instructors: Philipp TerhörstShortname: Responsible AI Lab 2
Course No.: 03.996.3335
Course Type: Projektseminar
Requirements / organisational issues
The following is recommended:- basic knowledge of machine learning and deep learning
- programming skills (e.g. Python, PyTorch)
Contents
The module introduces the principles, methods, and current research topics of responsible artificial intelligence. It focuses on the practical exploration of a self-selected specialization within this field (e.g. fairness, transparency, privacy, security, robustness, or accountability). Students work individually or in small groups on projects in which they design, implement, and experimentally evaluate algorithms to investigate a specific research question. The projects usually focus on one of the core aspects but may also combine several topics to analyze complex interdependencies. Throughout the module, students reflect on how technical decisions influence ethical, societal, and organizational dimensions.Additional information
Upon successful completion of the course, students will be able to:- explain and contextualize key concepts and challenges of responsible AI,
- understand and apply scientific methods and algorithms that operationalize these concepts,
- explore a specific subfield of Responsible AI in depth and formulate a research or practical question,
- implement, test, and critically evaluate appropriate methods in an experimental environment,
- interpret the results with sound reasoning and reflect on their ethical, societal, and technical implications.
It is possible to choose a more complex topic that can subsequently be continued in a final thesis. Students interested in such a continuation are kindly asked to contact the supervisor before topic assignment.
Dates
| Date (Day of the week) | Time | Location |
|---|---|---|
| 10/20/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 10/27/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 11/03/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 11/10/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 11/17/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 11/24/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 12/01/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 12/08/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 12/15/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 12/22/2026 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 01/12/2027 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 01/19/2027 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 01/26/2027 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 02/02/2027 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
| 02/09/2027 (Tuesday) | 08:00 - 10:15 | -1 341 HS VIII 1121 - Haus Recht und Wirtschaft II |
