Hagras, Hani (2018) Toward Human-Understandable, Explainable AI. Computer, 51 (9). pp. 28-36. DOI https://doi.org/10.1109/mc.2018.3620965
Hagras, Hani (2018) Toward Human-Understandable, Explainable AI. Computer, 51 (9). pp. 28-36. DOI https://doi.org/10.1109/mc.2018.3620965
Hagras, Hani (2018) Toward Human-Understandable, Explainable AI. Computer, 51 (9). pp. 28-36. DOI https://doi.org/10.1109/mc.2018.3620965
Abstract
Recent increases in computing power, coupled with rapid growth in the availability and quantity of data have rekindled our interest in the theory and applications of artificial intelligence (AI). However, for AI to be confidently rolled out by industries and governments, users want greater transparency through explainable AI (XAI) systems. The author introduces XAI concepts, and gives an overview of areas in need of further exploration-such as type-2 fuzzy logic systems-to ensure such systems can be fully understood and analyzed by the lay user.
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 18 Mar 2020 11:39 |
| Last Modified: | 30 Oct 2024 20:44 |
| URI: | http://repository.essex.ac.uk/id/eprint/27120 |
Available files
Filename: Towards Human Understandable Explainable AIv9.pdf