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].
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Official URL: https://arxiv.org/abs/1809.07882
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 |
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| 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| Status: | Unpublished |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 |
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