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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

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

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  • 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
DOI url: https://doi.org/10.30574/ijsra.2023.10.1.0845

Received on 09 September 2023; revised on 16 October 2023; accepted on 19 October 2023

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.

AI-Driven Automation; Microsoft Power Platform; Ethical AI; Bias In AI; Explainable AI; Data Privacy; Workforce Automation

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2023-0845.pdf

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Kolawole Joseph Ajiboye. Ethical challenges in AI-Driven automation: A case study of power platform solutions. International Journal of Science and Research Archive, 2023, 10(01), 1160-1174. Article DOI: https://doi.org/10.30574/ijsra.2023.10.1.0845

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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