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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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. |
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DOI: | 10.48550/arxiv.1811.11669 |