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<p>Artificial intelligence (AI) is becoming more and more important for workplace safety and well-being since it may be utilised to create new kinds of assistance and protective technologies. As a result, the risk assessment framework must be updated with AI to address the new challenges or risk in information technology (IT) projects. The foundation for AI-driven risk assessment from earlier research is only partially complete. Continued research is essential to guarantee the validity and completeness of the AI driven risk assessment framework. This literature review could be beneficial for future improvement in AI driven risk assessment framework. The goal of this paper is to explain a conceptual AI-driven risk assessment framework for improving the effectiveness, safety and likelihood of success in IT projects, as well as its different application areas. We conducted a thorough literature study on traditional&#xa0;and emerging methodologies for risk assessment frameworks in IT projects. Also included an assessment of future AI trends and the associated risks related to it. This research provides insightful information for creating new AI driven&#xa0;risk assessment framework&#xa0;for stakeholders, data scientists, developers, and planners.</p>

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AI driven risk assessment frameworks for it projects: state of the art, challenges and future direction

  • 期刊论文

  • 发表日期：

    2026年2月26日

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  • Ashrafur Rahman Nabil,
  • Kazi Rezwana Alam,
  • Md Ruhul Amin,
  • Jesmin Ul Zannat Kabir,
  • Kazi Md Shahadat Hossain

摘要

Artificial intelligence (AI) is becoming more and more important for workplace safety and well-being since it may be utilised to create new kinds of assistance and protective technologies. As a result, the risk assessment framework must be updated with AI to address the new challenges or risk in information technology (IT) projects. The foundation for AI-driven risk assessment from earlier research is only partially complete. Continued research is essential to guarantee the validity and completeness of the AI driven risk assessment framework. This literature review could be beneficial for future improvement in AI driven risk assessment framework. The goal of this paper is to explain a conceptual AI-driven risk assessment framework for improving the effectiveness, safety and likelihood of success in IT projects, as well as its different application areas. We conducted a thorough literature study on traditional and emerging methodologies for risk assessment frameworks in IT projects. Also included an assessment of future AI trends and the associated risks related to it. This research provides insightful information for creating new AI driven risk assessment framework for stakeholders, data scientists, developers, and planners.