SECURITY IMPLICATIONS OF AI USAGE IN GOVERNMENT STRATEGIC DECISSION MAKING IN UAE
Abstract
Review Paper
DOI: https://doi.org/10.37458/ssj.6.2.6
The implementation of artificial intelligence (AI) in the public sector represents a significant step toward improving governmental decision-making processes. AI systems reduce human errors, enable faster and more accurate analysis of large data volumes, and increase efficiency in crisis situations. A key aspect lies in creating strategic frameworks that foster transparency, accountability, and objectivity within government institutions. This study aims to explore the impact of AI systems on optimizing strategic decision-making and to analyze the strategies that governmental stakeholders may apply for successful implementation. The general hypothesis assumes that the use of AI positively affects strategic decision-making, while the specific hypotheses address the reduction of human errors and the protection of citizens’ privacy as key factors for effective implementation. The theoretical and practical contribution of the study lies in the potential to improve governance practices in the public sector, increase citizens’ trust, and enhance the creation of sustainable public value.
References
Alkausar, B., Soemarsono, P. N., Wulandari, A., Pangesti, N. G., & Pertiwi, A. R. (2025). The Role of Technology Adoption in the Relationship Between MAP and MSMEs Financial Performance Based on the Resource-Based View Theory. Journal of Multiperspectives on Accounting Literature, 3(2).
Apell, P., & Eriksson, H. (2023). Artificial intelligence (AI) healthcare technology innovations: the current state and challenges from a life science industry perspective. Technology Analysis & Strategic Management, 35(2), 179-193.
Archana, T. (2025). Artificial intelligence (AI) and digital competencies in the public sector. In Digital competency development for public officials: Adapting new technologies in public services (pp. 95-120). IGI Global Scientific Publishing.
Binder, C., Neureiter, C., & Lüder, A. (2022). Towards a domain-specific information architecture enabling the investigation and optimization of flexible production systems by utilizing artificial intelligence. The International Journal of Advanced Manufacturing Technology, 123(1), 49-81.
Broeker, L., Liepelt, R., Poljac, E., Künzell, S., Ewolds, H., de Oliveira, R. F., & Raab, M. (2018). Multitasking as a choice: A perspective. Psychological Research, 82(1), 12-23.
Chen, J., Yuan, Y., Ziabari, A. K., Xu, X., Zhang, H., Christakopoulos, P., ... & Advincula, R. (2024). AI for Manufacturing and Healthcare: a chemistry and engineering perspective. arXiv preprint arXiv:2405.01520.
Clark, V. L. P., Creswell, J. W., Green, D. O. N., & Shope, R. J. (2008). Mixing quantitative and qualitative approaches. Handbook of emergent methods, 363, 363-387.
Corvalán, J. G. (2018). Digital and intelligent public administration: Transformations in the era of artificial intelligence. A&C-Revista de Direito Administrativo & Constitucional, 18(71), 55-87.
Crawford, K., & Schultz, J. (2019). AI systems as state actors: On the power of prediction. Columbia Law Review, 119(7), 1941–1972.
Criado, J. I., & Gil-Garcia, J. R. (2019). Creating public value through smart technologies and strategies: From digital services to artificial intelligence and big data. International Journal of Public Sector Management, 32(5), 438–450.
Dasgupta, M., & Gupta, R. K. (2009). Innovation in organizations: A review of the role of organizational learning and knowledge management. Global Business Review, 10(2), 203-224.
Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamo-Larrieux, A. (2019). Robots and transparency: The multiple dimensions of transparency in the context of robot technologies. IEEE Robotics & Automation Magazine, 26(2), 71–78.
Gavighan, C., Knott, A., Maclaurin, J., Zerilli, J., & Liddicoat, J. (2019). Government use of artificial intelligence in New Zealand.
Gudepu, B. K., & Eichler, R. (2024). The role of AI in enhancing data governance strategies. International Journal of Acta Informatica, 3(1), 169-186.
Guo, Y. (Ed.). (2024). Digital Government and Public Interaction: Platforms, Chatbots, and Public Satisfaction: Platforms, Chatbots, and Public Satisfaction. IGI Global.
Ingrams, A., Piotrowski, S. J., & Berliner, D. (2024). Transnational approaches to improving public services: the case of the open government partnership. In Pathways to Positive Public Administration (pp. 300-319). Edward Elgar Publishing.
Jungherr, A. (2023). Artificial intelligence and democracy: A conceptual framework. Social media+ society, 9(3), 20563051231186353.
Khalifa, G. S., Alkheyi, A. A., Hossain, M. S., Alneadi, K. M., El-Aidie, S., & Alhaj, B. K. (2025). Organisational performance from a resource-based view: a study of public service sector in the United Arab Emirates. International Journal of Public Sector Performance Management, 15(1), 90-109.
Kiradoo, G. (2018). Role of Application of Artificial Intelligence (AI) and its Importance in the Healthcare Industry. International Journal of Advanced Research in Engineering and Technology, 9(2).
Lavrakas, P. J., Traugott, M. W., Kennedy, C., Holbrook, A. L., de Leeuw, E. D., & West, B. T. (Eds.). (2019). Experimental methods in survey research: Techniques that combine random sampling with random assignment. John Wiley & Sons, Hoboken.
Magliocca, P., Canestrino, R., Carayannis, E. G., & Gagliardi, A. R. (2025). Understanding human–technology interaction: evolving boundaries. European Journal of Innovation Management, 28(5), 2006-2028.
Mutitu, K. A. (2024). The impact of artificial intelligence on corporate governance: ethical implications and governance challenges. Europe, 45, 35.
Paul, K. B. (2017). Introducing interpretive approach of phenomenological research methodology in environmental philosophy: A mode of engaged philosophy in the Anthropocene. International Journal of Qualitative Methods, 16(1), 1609406917724916.
Pencheva, I., Esteve, M., & Mikhaylov, S. J. (2020). Big Data and AI–A transformational shift for government: So, what next for research?. Public Policy and Administration, 35(1), 24-44.
Redden, J. (2018). Democratic governance in an age of datafication: Lessons from mapping government discourses and practices. Big Data & Society, 5(2), 2053951718809145.
Reis, J., Santo, P. E., & Melão, N. (2019). Artificial intelligence in government services: A systematic literature review. In World conference on information systems and technologies (pp. 241-252). Springer, Cham.
Ruvalcaba-Gomez, E. A. (2025). Systematic and axiological capacities in artificial intelligence applied in the public sector. Public Policy and Administration, 40(2), 351-371.
Taeihagh, A. (2021). Governance of artificial intelligence. Policy and Society, 40(2), 137-157.
Vassilakopoulou, P., Haug, A., Salvesen, L. M., & Pappas, I. O. (2023). Developing human/AI interactions for chat-based customer services: lessons learned from the Norwegian government. European journal of information systems, 32(1), 10-22.
Vatamanu, A. F., & Tofan, M. (2025). Integrating artificial intelligence into public administration: Challenges and vulnerabilities. Administrative Sciences, 15(4), 149.
Zheng, D., Chen, J., Huang, L., & Zhang, C. (2013). E-government adoption in public administration organizations: integrating institutional theory perspective and resource-based view. European Journal of Information Systems, 22(2), 221-234.
Zuiderwijk, A., Chen, Y.C., Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3), 101577.
Wilner, A. S. (2018). Cybersecurity and its discontents: Artificial intelligence, the Internet of Things, and digital misinformation. International Journal, 73(2), 308-316.
Zahra, A. A., & Nurmandi, A. (2021, March). The strategy of develop artificial intelligence in Singapore, United States, and United Kingdom. In IOP Conference Series: Earth and Environmental Science (Vol. 717, No. 1, p. 012012). IOP Publishing.
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