Comprehensive AI Governance Framework: A Strategic Approach for Organizations in Dynamic Regulatory Environments

Authors

  • Dr. Sanjay Nakharu Prasad Kumar IEEE Senior Member, USA Author

DOI:

https://doi.org/10.15662/IJEETR.2025.0702004

Keywords:

Artificial Intelligence Governance, Regulatory Compliance, Risk Management Frameworks, Ethical AI, Policy Frameworks

Abstract

Artificial intelligence systems are transforming business operations and societal functions, creating urgent demands for robust governance frameworks. Organizations worldwide face mounting pressure to ensure responsible AI development and deployment while navigating increasingly complex regulatory landscapes. This white paper presents a comprehensive, jurisdiction-agnostic AI governance framework addressing six critical risk domains: privacy, bias, transparency, security, compliance, and societal trust. We propose eight actionable recommendations supported by a phased implementation roadmap, enabling organizations to build adaptive governance systems that balance innovation with responsibility. This framework integrates technical controls, organizational processes, and stakeholder engagement to help organizations transform AI governance from a compliance burden into a strategic advantage.

References

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Published

2025-04-10

How to Cite

Comprehensive AI Governance Framework: A Strategic Approach for Organizations in Dynamic Regulatory Environments. (2025). International Journal of Engineering & Extended Technologies Research (IJEETR), 7(2), 9653-9660. https://doi.org/10.15662/IJEETR.2025.0702004