Ethical AI integration in municipal self-service technologies: A case study from UAE public sector transformation

This study focuses on self-service technologies (SST) in the public sector in the United Arab Emirates (UAE), aiming to address ethical concerns arising from the utilization of artificial intelligence (AI) and enrich various facets of SST that have not been addressed previously in the literature. This study examines existing practices for introducing AI in SST in various UAE municipalities, holds discussions with researchers and municipality experts regarding ethical considerations, and identifies gaps, priorities, and recommendations for preventing unethical uses of AI. A qualitative approach is adopted, involving interviews with experts from selected UAE municipalities—Sharjah, Abu Dhabi, and Ajman—as case studies. Although all case studies demonstrated the advantages of utilizing AI for SST in the UAE, the participants recommended addressing ethical concerns regarding AI. The analysis of themes from all cases reveals solutions for preventing AI misuse, such as signing contracts and saving actual data. Moreover, all participants agreed on the importance of having a framework governing the use of AI. This study provides valuable insights into best practices and ethical considerations for adopting AI, delivering safer and more efficient customer services, and implementing guidelines and a unified framework for AI, particularly when managing customer data. • AI is revolutionizing self-service technologies (SST) in the UAE • Solutions for preventing AI misuse include signing contracts and saving actual data. • Aframework governing the use of AI in the UAE is recommended

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Publication Details

Journal
Journal of Open Innovation Technology Market and Complexity
Published
2025-09-25
DOI
https://doi.org/10.1016/j.joitmc.2025.100648
Primary Topic
Artificial Intelligence in Law
Type
article
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article

Ethical AI integration in municipal self-service technologies: A case study from UAE public sector transformation

Alex Opoku, Muath Alyileili
Journal of Open Innovation Technology Market and Complexity
Artificial Intelligence in Law
article

Ethical AI integration in municipal self-service technologies: A case study from UAE public sector transformation

Alex Opoku, Muath Alyileili
article en

Abstract

This study focuses on self-service technologies (SST) in the public sector in the United Arab Emirates (UAE), aiming to address ethical concerns arising from the utilization of artificial intelligence (AI) and enrich various facets of SST that have not been addressed previously in the literature. This study examines existing practices for introducing AI in SST in various UAE municipalities, holds discussions with researchers and municipality experts regarding ethical considerations, and identifies gaps, priorities, and recommendations for preventing unethical uses of AI. A qualitative approach is adopted, involving interviews with experts from selected UAE municipalities—Sharjah, Abu Dhabi, and Ajman—as case studies. Although all case studies demonstrated the advantages of utilizing AI for SST in the UAE, the participants recommended addressing ethical concerns regarding AI. The analysis of themes from all cases reveals solutions for preventing AI misuse, such as signing contracts and saving actual data. Moreover, all participants agreed on the importance of having a framework governing the use of AI. This study provides valuable insights into best practices and ethical considerations for adopting AI, delivering safer and more efficient customer services, and implementing guidelines and a unified framework for AI, particularly when managing customer data. • AI is revolutionizing self-service technologies (SST) in the UAE • Solutions for preventing AI misuse include signing contracts and saving actual data. • Aframework governing the use of AI in the UAE is recommended

Journal of Open Innovation Technology Market and ComplexityVol. 11(4)
University of Sharjah (AE)
Openalex Percentile: Top 69%
Artificial Intelligence in Law
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