Akhoirshieda, Modafar Shaker and Ku Muhammad Naim, Ku Khalif and Suryanti, Awang (2024) Artificial intelligence in the United Arab Emirates public sector: A systematic literature review. IAES International Journal of Artificial Intelligence, 13 (3). 2472 -2481. ISSN 2089-4872. (Published)
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Abstract
This systematic literature review examines United Arab Emirates (UAE) public sector artificial intelligence (AI) use, impact, and challenges. Using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) protocol, 20 relevant Scopus articles were selected for the study. Data from selected articles were used to analyse AI's use, benefits, and drawbacks in the UAE's public sector. Quality assessment was done throughout the review process. The results showed that AI is being used more in the UAE's public sector to improve efficiency, cost savings, decision-making, and service delivery. The review also found data, privacy, security, technical, infrastructure, AI, and user challenges. Publication bias and the lack of AI studies in the UAE's public sector limit the study. The findings have major implications for policy and practice, emphasising the need for AI strategies and UAE-specific solutions.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Artificial intelligence; Decision support system; Emerging technology; Public sector; Systematic literature review; United Arab Emirates |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Institute of Postgraduate Studies Center for Mathematical Science Faculty of Computing |
| Depositing User: | Mrs. Nurul Hamira Abd Razak |
| Date Deposited: | 21 May 2025 08:57 |
| Last Modified: | 21 May 2025 08:57 |
| URI: | http://umpir.ump.edu.my/id/eprint/44612 |
| Download Statistic: | View Download Statistics |
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