Work

Artificial intelligence in the United Arab Emirates public sector: a systematic literature review

Year: 2024

Type: review

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.

Source: IAES International Journal of Artificial Intelligence

DOI: 10.11591/ijai.v13.i3.pp2472-2481

Authors: Modafar Shaker Akhoirshieda, Ku Muhammad Naim Ku Khalif, Suryanti Awang

Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

Language: English

Topic: E-Government and Public Services

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Peace, justice, and strong institutions

Open Access status: diamond

Funder: Universiti Malaysia Pahang