pith. sign in

arxiv: 1811.11669 · v1 · pith:4IKM2JYWnew · submitted 2018-11-28 · 💻 cs.LG · stat.ML

Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview

classification 💻 cs.LG stat.ML
keywords data-drivenidentifyinglearningmachinemanagingmodelsoverviewquantifying
0
0 comments X
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.