Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Uncertainty aware AI ML: Why and how [Pre print]

Kaplan, Lance, Cerutti, Federico ORCID: https://orcid.org/0000-0003-0755-0358, Sensoy, Murat, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 and Sullivan, Paul 2018. Uncertainty aware AI ML: Why and how [Pre print].

[thumbnail of 1809.07882.pdf]
Preview
PDF - Accepted Post-Print Version
Download (398kB) | Preview

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.

Item Type: Working paper
Date Type: Completion
Status: Unpublished
Schools: Schools > Computer Science & Informatics
Research Institutes & Centres > Crime and Security Research Institute (CSURI)
Additional Information: Presented at: AAAI FSS-18: Artificial Intelligence in Government and Public Sector Proceedings, Arlington, VA, USA, 18-20 October 2018
Date of First Compliant Deposit: 19 October 2018
Last Modified: 25 Aug 2026 10:00
URI: https://orca.cardiff.ac.uk/id/eprint/116032

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics