Uncertainty Aware AI ML: Why and How
Artificial Intelligence
2018-09-24 v1
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.
Cite
@article{arxiv.1809.07882,
title = {Uncertainty Aware AI ML: Why and How},
author = {Lance Kaplan and Federico Cerutti and Murat Sensoy and Alun Preece and Paul Sullivan},
journal= {arXiv preprint arXiv:1809.07882},
year = {2018}
}
Comments
Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, USA