AI-driven risk identification and mitigation strategies for government projects

Salifu, Arome (2025) AI-driven risk identification and mitigation strategies for government projects. International Journal of Science and Research Archive, 15 (3). pp. 303-306. ISSN 2582-8185

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.