Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview
classification
💻 cs.LG
stat.ML
keywords
data-drivenidentifyinglearningmachinemanagingmodelsoverviewquantifying
read the original abstract
Quantifying and managing uncertainties that occur when data-driven models such as those provided by AI and machine learning methods are applied is crucial. This whitepaper provides a brief motivation and first overview of the state of the art in identifying and quantifying sources of uncertainty for data-driven components as well as means for analyzing their impact.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.