Establishing AI Governance Frameworks Within CloudOps to Accelerate Safe, Compliant AI Adoption at Scale

Authors

  • Prashant Kumar Prasad

Keywords:

CloudOps, AI Governance, Safety, Frameworks

Abstract

The paper explains the ways the AI governance systems may enhance the safety, compliance, and stability in the CloudOps systems. The study is based on the quantitative design in which the information will be gathered as a survey, system logs and governance scorecards on a sample of a group of technology firms. The statistical test helps to prove that the strong governance controls which include clear policies, monitoring and being under human control are quite helpful in diminishing the number of incidence and enhancing compliance and stabilization of model behaviour. Regression analysis confirms the fact that the governance maturity is a good predictor, which contributes to the improved outcomes of CloudOps. It implies that formal governance is applicable even to businesses that implement AI at the big scale. The study provides quantifiable findings that can be used to prove safe and trustworthy operations of AI.

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References

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Published

12.11.2024

How to Cite

Prashant Kumar Prasad. (2024). Establishing AI Governance Frameworks Within CloudOps to Accelerate Safe, Compliant AI Adoption at Scale. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 3840–3848. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7932

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

License

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