Ethical challenges in AI-Driven automation: A case study of power platform solutions

Kolawole Joseph Ajiboye *

Independent Researcher, Sheffield Hallam University.
 
Research Article
International Journal of Science and Research Archive, 2023, 10(01), 1160-1174.
Article DOI: 10.30574/ijsra.2023.10.1.0845
Publication history: 
Received on 09 September 2023; revised on 16 October 2023; accepted on 19 October 2023
 
Abstract: 
Incorporating AI automated systems through the Microsoft Power Platform has transformed business operations by advancing organizational performance and better decision-making throughout multiple business sectors. Fast AI deployment methods bring important moral problems, ranging from biased AI systems to unclear systems, personal data threats, and workforce replacement issues. This research identifies ethical problems by analyzing concrete AI automation situations that show the hazards during Power Platform deployment. The paper presents proven practices and necessary policies to control these risks through fairness-aware AI solutions, transparent models, and strong data safety measures and programs to help workers adjust to new roles. Organizations can achieve business goals and social priorities through ethical AI governance and culture development that establishes responsible AI frameworks.
 
Keywords: 
AI-Driven Automation; Microsoft Power Platform; Ethical AI; Bias In AI; Explainable AI; Data Privacy; Workforce Automation
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0