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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Fast Publication within 48 hours || Low Article Processing Charges || Peer Reviewed and Referred Journal || Free Certificate

Research and review articles are invited for publication in January 2026 (Volume 18, Issue 1)

AI-driven risk identification and mitigation strategies for government projects

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Arome Salifu ∗

Kogi State University, Department of Economics, Anyigba, Kogi State, Nigeria.

Review Article

International Journal of Science and Research Archive, 2025, 15(03), 303–306

Article DOI: 10.30574/ijsra.2025.15.3.1454

DOI url: https://doi.org/10.30574/ijsra.2025.15.3.1454

Received on 06 April 2025; revised on 27 May 2025; accepted on 30 May 2025

This review is focused on AI-Driven Risk Identification and Mitigation Strategies for Government Projects. The review addresses Risk Mitigation Strategies and AI-Related Vulnerabilities putting into consideration accuracy and bias. The study also highlights NIST framework application in Nigeria, Impacts of AI-Driven risk mitigation and implementing AI for risk mitigation and challenges for government projects. Conclusively, the study confirms that AI holds transformative potential for government projects through its innovative solutions to mitigate risks and enhance operational efficiency. By aligning technological advancements and sustainable practices, AI offers a promising pathway to achieving long-term growth and resilience in an increasingly dynamic global environment. The study recommends investments in AI education and training that will place emphasis on the need to bridge knowledge gaps and empower organizations to fully leverage AI’s potential. 

Risk; Mitigation; Planning; AI; Project management

https://journalijsra.com/sites/default/files/fulltext_pdf/IJSRA-2025-1454.pdf

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Arome Salifu. AI-driven risk identification and mitigation strategies for government projects. International Journal of Science and Research Archive, 2025, 15(03), 303–306. Article DOI: https://doi.org/10.30574/ijsra.2025.15.3.1454.

Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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