Uncertainty Aware AI ML: Why and How
This is an incremental survey and theoretical demonstration aimed at researchers and practitioners in AI/ML seeking to improve decision-making under uncertainty.
The paper argues for the need to develop uncertainty-aware AI/ML systems for decision support, surveying challenges and research directions, and demonstrates potential value through a theoretical integration in route planning.
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.