Porcelain Publishing / BJBPR / Volume 1 / Issue 1 / DOI: 10.47297/ppibjbpr2025010104
ARTICLE

The Future of Leadership in the Context of Artificial Intelligence and  Automation: Navigating Ethical and Operational Challenges

Ebuka Emmanuel Aniebonam1
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1 North Star Mutual School of Business, Department of Business, Innovation and Strategy, Southwest Minnesota State University Marshall Minnesota, USA
© Invalid date by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

The integration of artificial intelligence (AI) and automation is reshaping leadership paradigms, presenting unprecedented  opportunities and complex challenges for modern organizations. This paper explores the transformative impact of AI on  leadership, emphasizing the ethical, strategic, and operational considerations that arise as technology becomes a cornerstone of  decision-making and organizational processes. While AI enhances efficiency, adaptability, and innovation, it also raises concerns  about data privacy, algorithmic bias, and job displacement. The paper delves into the dual mandate for leaders to leverage AI  while addressing these ethical dilemmas, highlighting the blurred boundaries between management and leadership in AIdriven environments. Methodologically, the study employs multi-level analyses and mixed methods approaches to examine  leadership traits, team dynamics, and organizational practices in the context of AI. Additionally, the paper underscores the  potential of AI-driven tools, such as machine learning and virtual reality, to revolutionize leadership development by providing  real-time feedback and scenario-based training. Recommendations emphasize the need for AI ethics training, inclusive  leadership practices, and a human-centric approach to AI integration. By fostering transparency, equity, and interdisciplinary  collaboration, leaders can harness AI's transformative potential while ensuring ethical responsibility. This study contributes to  the evolving discourse on leadership in the digital era, offering insights for scholars and practitioners navigating the  complexities of AI and automation.

Keywords
AI integration
automation
leadership paradigms
ethical considerations
strategic decision-making
operational challenges
data privacy
algorithmic bias
Funding
This research received no external funding.
Conflict of interest
The author declares no conflicts of interest.
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British Journal of Business and Psychology Research, Electronic ISSN: 2977-8875 Published by Porcelain Publishing