Seminar: 2.01.812-A Current Topics in Interpretable/Explainable AI (XAI) - Details

Seminar: 2.01.812-A Current Topics in Interpretable/Explainable AI (XAI) - Details

General information

Course name Seminar: 2.01.812-A Current Topics in Interpretable/Explainable AI (XAI)
Subtitle inf812
Course number 2.01.812-A
Semester WiSe22/23
Current number of participants 2
expected number of participants 10
Home institute Department of Computing Science
Courses type Seminar in category Teaching
First date Thursday, 20.10.22, 10:15 - 11:45 o'clock V03 3-A324
Type/Form SE
Lehrsprache englisch
Miscellanea ggf. Internet

Rooms and times

V03 3-A324

  • Thursday, 10:15 - 11:45, Weekly (from 20.10.22)

Module assignments

Comment/Description

This seminar will cover different aspects of interpretable/explainable AI (XAI) ranging from inherently interpretable models over perturbation-based methods, such as Shapley values, to gradient-/decomposition-based approaches and their quantitative evaluation. Going beyond conventional single-feature attribution methods, we will also discuss current concept-based attribution methods, ways to assess feature interactions and connections to causality.

Admission settings

The course is part of admission "Anmeldung gesperrt (global)".
Erzeugt durch den Stud.IP-Support
The following rules apply for the admission:
  • Admission locked.