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 |
Projects the talk is about
Duration: 15/03/2024 - 31/12/2026 Funded by: MKW - Förderlinie „Künstliche Intelligenz/Maschinelles Lernen“ - KI-Starter Type of project: Individual project |