Uncertainty Aware AI ML: Why and How

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.
  • Lance Kaplan (ARL)
  • Federico Cerutti (Cardiff)
  • Murat Sensoy
  • Alun Preece (Cardiff)
  • Paul Sullivan (ARL)
Date Oct-2018
Venue AAAI Fall Symposium 2018