General information
| Course name | Lecture: 2.01.810 Designing Explainable Artificial Intelligence |
| Subtitle | inf810 |
| Course number | 2.01.810 |
| Semester | SoSe2023 |
| Current number of participants | 8 |
| expected number of participants | 12 |
| Home institute | Department of Computing Science |
| Courses type | Lecture in category Teaching |
| Next date | Monday, 25.09.2023 09:00 - 17:00, Room: (ONLINE) |
| Type/Form | V+Ü |
| Pre-requisites |
Participation requirements: • Basic knowledge in Artificial Intelligence/Machine Learning • Interest in the scientific development and evaluation of IT artifacts, which goes hand in hand with literature work • Willingness to deal with qualitative and/or quantitative evaluation methods • Interest in prototyping Recommended prior knowledge: • Basic knowledge of artificial intelligence and/or relevant programming skills (e.g., Python) • Familiarity with software for the design of prototypical information systems (e.g., for user interfaces) |
| Learning organisation |
Course goals: • Become acquainted with the research field of Explainable Artificial Intelligence (XAI) - Become acquainted with different methods and techniques from the field of Explainable Artificial Intelligence (XAI) as well as their characteristics - Hands-on experience creating XAI systems |
| Performance record | In addition to compulsory attendance at the block seminar, the examination performance will consist of a practical paper or a term paper. The basis for this examination is selected literature (approx, 3 pages per person), which will be handed out in the kick-off meeting on 11.04. |
| Lehrsprache | deutsch |
