Master Lab Course – Ethical AI: Problems and Applications (IN2106,IN4297)
Master Lab Course – Ethical AI: Problems and Applications (IN2106, IN4297)
Lehrveranstaltung 0000002676 im SS 2023
Basisdaten
| LV-Art | Praktikum |
|---|---|
| Umfang | 6 SWS |
| betreuende Organisation | Informatik 2 - Lehrstuhl für Sprachen und Beschreibungsstrukturen in der Informatik (Prof. Seidl) |
| Dozent(inn)en |
Tobias Eder Leitung/Koordination: Georg Groh |
| Termine |
Mi, 16:00–18:00, MI 01.07.023 sowie 1 einzelner oder verschobener Termin |
Zuordnung zu Modulen
-
IN2106: Master-Praktikum / Advanced Practical Course
Dieses Modul ist in den folgenden Katalogen enthalten:- weitere Module aus anderen Fachrichtungen
weitere Informationen
Lehrveranstaltungen sind neben Prüfungen Bausteine von Modulen. Beachten Sie daher, dass Sie Informationen zu den Lehrinhalten und insbesondere zu Prüfungs- und Studienleistungen in der Regel nur auf Modulebene erhalten können (siehe Abschnitt "Zuordnung zu Modulen" oben).
| ergänzende Hinweise | With the developments of AI in the past 10 years the applications for such systems have grown exponentially. There is a huge need to apply AI-based systems both commercially and practically for dealing with large volumes of data today and to manage and drive decision making in a myriad of fields. At the same time, increasingly complex learning systems have led to a methodological smoke screen effect that makes it hard to link intention to actual effect in some applications. The potential for both intentional and unintentional harm can be large and is a serious problem in acceptance of these techniques in critical decision-making processes. This lab course will focus on designing and applying ethical concepts and constraints to data-driven AI applications. This course therefore aims to both operate at the state-of-the-art in AI and ML and see what problems emerge when using known data-driven approaches and how to combat them. In projects teams are tasked to work on application-oriented projects to deal with known problems such as Bias, Fairness, Privacy, Trust, Transparency, and the potential for abuse with both discriminative and generative models. The lab will offer different projects focused on specific problems, with a stronger focus on Natural Language Processing systems. There will however also be topics without a strict NLP focus and some for which the field of application can be freely chosen by the group members. Matching procedure via matching.in.tum.de. Preliminary Meeting Wednesday, Feb 1, 16:00 in room 01.07.14 Garching FMI - Deregistration deadline: 15 March 2021 Please apply to the course beforehand at https://wiki.tum.de/display/socialcomputing/Ethical+AI%3A+Problems+and+Applications+SS2023 - you can also find the slides of the preliminary meeting there. |
|---|---|
| Links | TUMonline-Eintrag |
Gleiche Lehrveranstaltungen (z. B. in anderen Semestern)
| Semester | Titel | Dozent(en) | Termine |
|---|---|---|---|
| SS 2024 | Master Lab Course – Ethical AI: Problems and Applications (IN2106, IN4297) |
Eder, T.
Leitung/Koordination: Groh, G. |
Mi, 16:00–18:00, MI 02.07.014 sowie einzelne oder verschobene Termine |
| SS 2022 | Master Lab Course – Ethical AI: Problems and Applications (IN2106,IN4297) |
Eder, T.
Leitung/Koordination: Groh, G. |
Mi, 16:00–18:00, MI 00.08.055 sowie einzelne oder verschobene Termine |
| SS 2021 | Master Lab Course – Ethical AI: Problems and Applications (IN2106, IN4297) |
Eder, T.
Leitung/Koordination: Groh, G. |
einzelne oder verschobene Termine |