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What Can Explainability Mean for Probabilistic Inference?
Basic data for this talk
Type of talk:
scientific talk
Name der Vortragenden:
Braun, Tanya
Date of talk:
27/06/2024
Talk language:
English
URL of slides:
https://www.uni-muenster.de/imperia/md/content/informatik/research/talks/happi_intro.pdf
Information about the event
Name of the event:
sAIOnARA 2024 (Conference on Shaping Trustworthy AI: Opportunities, Innovation, and Achievements for Reliable Approaches)
Event period:
25/06/2024
-
27/06/2024
Event location:
Bielefeld
Event website:
https://dataninja.nrw/?p=2071
Organised by:
Data-NInJA
Abstract
Keywords:
artificial intelligence; explainability; probabilistic graphical models; lifting; planning; reconciliation
Speakers from the University of Münster
Braun
,
Tanya
Junior professorship for practical computer science - modern aspects of data processing / data science (Prof. Braun)