Regulatory Challenges in AI-Powered Cloud Automation: Balancing Innovation and Compliance
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I4P108Keywords:
AI, Cloud Automation, Regulation, Data Privacy, Accountability, Algorithmic Bias, Transparency, ComplianceAbstract
AI-powered cloud automation is rapidly transforming industries, offering significant improvements in efficiency, scalability, and cost-effectiveness. However, as these technologies evolve, they present new regulatory challenges that need careful consideration. Balancing the innovative capabilities of AI with the necessary compliance frameworks is critical for maintaining ethical standards, protecting privacy, and ensuring security. This paper explores the key regulatory challenges facing AI-powered cloud automation, including data privacy, accountability, bias in algorithms, transparency, and intellectual property issues. It further discusses the current global regulatory landscape and sector-specific frameworks, providing case studies from healthcare, finance, and the public sector. Finally, the paper presents recommendations for fostering innovation while ensuring robust compliance, emphasizing the need for collaboration between industry, government, and academia to create adaptive, flexible, and comprehensive regulatory models
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