== Seminar Explainable Machine Learning ==
||'''1st meeting:''' || 21.04.2023, 11:00-13:00 ||
||'''Presentations:''' || Bi-weekly ||
|| '''Responsible:''' || [[http://www.ml.tu-berlin.de/menue/members/klaus-robert_mueller/|Prof. Dr. Klaus-Robert Müller]] ||
|| '''Lecturer''' || Lorenz Linhardt ||
|| '''Contact''' || l.linhardt@campus.tu-berlin.de ||
|| '''Room:'''   || Mar 4.033 ||
||'''Language'''|| English ||
In this seminar, foundational and current research in the area of explainable machine learning (XAI) will be disseminated. 

Students can select from a pool of papers from a given curriculum. With the help of their supervisors, students will read, understand, evaluate and present selected research papers on methods in XAI. Students will present their topic in a 15-20 min talk in English. Each talk will be followed by a discussion by the participants.

Presence at the kick-off meeting is required.