Allgemeine Informationen
| Veranstaltungsname | Vorlesung: 2.01.810 Designing Explainable Artificial Intelligence |
| Untertitel | inf810 |
| Veranstaltungsnummer | 2.01.810 |
| Semester | SoSe2023 |
| Aktuelle Anzahl der Teilnehmenden | 9 |
| erwartete Teilnehmendenanzahl | 12 |
| Heimat-Einrichtung | Department für Informatik |
| Veranstaltungstyp | Vorlesung in der Kategorie Lehre |
| Erster Termin | Dienstag, 11.04.2023 15:00 - 16:00, Ort: (ONLINE) |
| Art/Form | V+Ü |
| Voraussetzungen |
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) |
| Lernorganisation |
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 |
| Leistungsnachweis | 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 |
