Authors : Ali M. Iqbal; Majed Al Otaibi; Khalid Aljaghthami

Volume/Issue : Volume 10 - 2025, Issue 11 - November

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DOI : https://doi.org/10.38124/ijisrt/25nov133

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Abstract : Cloud computing AI is revolutionizing software development, security, and operations. Among those breakthroughs is AI-generated code — machine-authored logic that automates processes during the lifecycle of the cloud. In addition to being a boon to the growth of lean and resource-efficient systems, automation can open up more complex ethical dilemmas. These encompass decision logic bias, threat detection opacity, a lack of accountability in automated remediation, and the privacy risks posed by data-driven personalization. In this work we consider the ethical issues surrounding AI code generation for cloud platforms in three domains: cloud development, security operations, and decision- making systems. By applying some specific technical examples and combining a synthesis of recent literature we argue the extent to which AI has the power and potential for threats to be realized in cloud-based environments. We are calling for governance mechanisms such as fairness-aware models, explainable AI, human-in-the-loop supervision, and consent-aware data practices. The findings of our study indicate that ethical AI is not an option, but rather a requirement, for a secure, transparent and accountable cloud platform that should be provided.

Keywords : Artificial Intelligence, Cloud Computing, Ethics, Automation, Security, Decision-Making, Governance.

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