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Uncertainty Aware AI ML: Why and How

20 September 2018
Lance M. Kaplan
Federico Cerutti
Murat Sensoy
Alun D. Preece
Paul Sullivan
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Abstract

This paper argues the need for research to realize uncertainty-aware artificial intelligence and machine learning (AI\&ML) systems for decision support by describing a number of motivating scenarios. Furthermore, the paper defines uncertainty-awareness and lays out the challenges along with surveying some promising research directions. A theoretical demonstration illustrates how two emerging uncertainty-aware ML and AI technologies could be integrated and be of value for a route planning operation.

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