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Artificial Intelligence and Ethical Transformation in the Organization
Subject area: Management and Commerce · Area of research: Management and Entrepreneurship
Abstract
Artificial intelligence (AI) is reshaping organizational processes, decision-making, andworkforcedynamics. While AI enhances efficiency and innovation, it introduces ethical challenges related to bias, transparency, accountability, and privacy. This paper examines how AIdrives ethical transformation in the organizations, drawing on stakeholder’s theory, virtue ethics, and regulatory frameworks. Using a conceptual and integrative approach, the paper argues that organizations must shiftfrom reactive compliance to proactive, ethics by design to build trust and legitimacy. The findings indicate that ethical AI governance enhances stakeholders trust, reduces legal risk, and supports sustainableperformance. The paper concludes with a framework and recommendations for embedding ethics into AI adoption.
Keywords
Artificial Intelligence, Ethics, Organizational Transformation, Responsible AI, Accountability, Stakeholder Theory.
How to cite this paper
@article{1722739,
author = {Ahiauzu Levi Uche Ph.D., Ighiere Kenneth Aloaye, Chinyere Laura Johnbull Nwaobakata PhD, Nnam-Obi, Joy Nkechinyere, Aneregh Christiana Mbafa},
title = {Artificial Intelligence and Ethical Transformation in the Organization},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {3},
pages = {453-456},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1722739.pdf},
abstract = {Artificial intelligence (AI) is reshaping organizational processes, decision-making, andworkforcedynamics. While AI enhances efficiency and innovation, it introduces ethical challenges related to bias, transparency, accountability, and privacy. This paper examines how AIdrives ethical transformation in the organizations, drawing on stakeholder’s theory, virtue ethics, and regulatory frameworks. Using a conceptual and integrative approach, the paper argues that organizations must shiftfrom reactive compliance to proactive, ethics by design to build trust and legitimacy. The findings indicate that ethical AI governance enhances stakeholders trust, reduces legal risk, and supports sustainableperformance. The paper concludes with a framework and recommendations for embedding ethics into AI adoption.},
keywords = {Artificial Intelligence, Ethics, Organizational Transformation, Responsible AI, Accountability, Stakeholder Theory.},
month = {September},
}