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

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...

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1. Verfasser: Kläs, Michael
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
DOI:10.48550/arxiv.1811.11669