Ethical AI in cloud: Mitigating risks in machine learning models

Abstract

This research examines how AI models affect cloud system ethics and shows companies ways to reduce these dangers. AI developers should work to secure personal data while showing users clear results and make themselves responsible for their work. As we place AI systems on cloud servers, our ethical focus shifts to guarding sensitive information and preventing unfair outputs. This investigation studies real data from events and academic sources through quality research to detect issues and suggest useful solutions. The research examines current real-world events and business methods to suggest proven ways of eliminating risks while upholding ethical standards. Our goal is to build frameworks that promote AI development and keep artificial intelligence easy to use safely and securely for all people who need these systems. Our research extends present knowledge about deploying AI securely into cloud settings.