Ethical AI in cloud: Mitigating risks in machine learning models
Andhra University, INDIA.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2020, 01(01), 096-109.
Article DOI: 10.30574/wjaets.2020.1.1.0018
Publication history:
Received on 17 October 2020; revised on 25 November 2020; accepted on 29 November 2020
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.
Keywords:
Ethical Standards; Data Privacy; Cloud Security; Bias Mitigation; Explainable AI; Fairness Metrics
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Copyright information:
Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0