Policy framework for Cloud Computing: AI, governance, compliance and management
1 Carnegie Mellon University, 5000 Forbes Avenue Pittsburgh, PA 15213, USA.
2 Bournemouth University Department of Information Technology United Kingdom.
3 SPS Division of Programs in Business, Department of Management and Technology, New York University.
4 School of Business, Technology and Health Care Administration Capella University, Minneapolis, MN, USA 55402, USA.
5 Western Illinois University School of Computer Sciences Stripes Hall 44, 1 University Circle Macomb IL 61455-1390 USA.
Research Article
Global Journal of Engineering and Technology Advances, 2024, 21(02), 114–126.
Article DOI: 10.30574/gjeta.2024.21.2.0212
Publication history:
Received on 07 October 2024; revised on 19 November 2024; accepted on 21 November 2024
Abstract:
The rapid evolution of cloud computing has transformed data management, operational efficiency, and artificial intelligence (AI) capabilities across industries. However, this advancement presents new challenges in governance, compliance, and management, necessitating a comprehensive policy framework to ensure secure, ethical, and effective cloud usage. This review examines a robust policy framework designed to address these challenges, focusing on the integration of AI, governance practices, regulatory compliance, and cloud management. The framework outlines specific policies for AI, emphasizing ethical considerations, accountability, and transparency, alongside mechanisms for privacy and bias mitigation to foster responsible AI deployment in cloud environments. Governance policies are structured to establish clear data stewardship, risk management, and continuous monitoring protocols, ensuring that cloud resources align with organizational and regulatory standards. Moreover, compliance is addressed through adherence to global standards such as GDPR and HIPAA, with an emphasis on data sovereignty, auditability, and vendor accountability to maintain regulatory alignment across jurisdictions. Management policies within the framework focus on optimizing resource allocation, enforcing Service Level Agreements (SLAs), and developing disaster recovery and business continuity strategies. These management policies aim to balance cost-efficiency with performance reliability. Recognizing the complexities of multi-cloud and hybrid environments, the framework proposes adaptable guidelines that accommodate rapid technological shifts and address security and privacy risks inherent in cloud computing. Through case studies and best practices, this framework offers actionable insights for organizations seeking to implement secure, compliant, and efficient cloud systems. In exploring the future landscape, the review anticipates emerging regulations and underscores the importance of industry-wide collaboration in refining cloud policies. This policy framework provides a foundation for organizations to harness the full potential of cloud computing while upholding standards in AI ethics, data governance, and regulatory compliance.
Keywords:
Policy Framework; Cloud Computing; Artificial intelligence; Governance
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0