Artificial Intelligence and Project Governance

Enhancing Compliance and Accountability Through Automated Monitoring

Authors

  • Sarah Thompson Assistant Professor, Department of Management, University of Melbourne, Melbourne, Australia Author

Keywords:

Artificial Intelligence, project governance, compliance, accountability

Abstract

In the contemporary landscape of project management, the integration of Artificial Intelligence (AI) has emerged as a pivotal force in enhancing governance frameworks. This paper investigates how AI technologies can automate the monitoring of compliance and accountability in projects, thereby ensuring adherence to regulatory and organizational standards. By utilizing machine learning algorithms, natural language processing, and data analytics, organizations can streamline oversight processes, mitigate risks, and promote transparency. The paper discusses the implications of automated monitoring systems for project governance, highlighting their potential to improve decision-making, foster accountability, and enhance stakeholder trust. Additionally, it examines challenges associated with AI implementation in governance practices and offers recommendations for successful integration. Ultimately, the study advocates for the strategic use of AI as a means to bolster project governance, ensuring projects meet established compliance standards while achieving their intended objectives.

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References

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Published

02-11-2023

How to Cite

[1]
Sarah Thompson, “Artificial Intelligence and Project Governance: Enhancing Compliance and Accountability Through Automated Monitoring”, Australian Journal of Machine Learning Research & Applications, vol. 3, no. 2, pp. 518–523, Nov. 2023, Accessed: Nov. 06, 2024. [Online]. Available: https://sydneyacademics.com/index.php/ajmlra/article/view/159

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