Authors : Rashik K. Badgami

Volume/Issue : Volume 10 - 2025, Issue 12 - December

Google Scholar : https://tinyurl.com/ywxywpde

Scribd : https://tinyurl.com/4rv4nd4v

DOI : https://doi.org/10.38124/ijisrt/25dec1016

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Artificial intelligence (AI) systems are increasingly embedded in organizational decision-making processes, providing recommendations that shape strategic, operational, and administrative outcomes. While human actors retain formal authority, AI systems often exert substantial implicit influence over decisions without corresponding accountability or governance. This paper introduces the concept of AI as a Shadow Executive, defined as a non-human system that materially influences organizational decisions without formal decision rights or fiduciary responsibility. The study proposes a novel conceptual and analytical framework to quantify AI’s implicit executive power, examines behaviour shifts in human leadership resulting from prolonged AI exposure, and explores governance mechanisms to rebalance human–AI authority. Through simulation-based modelling and behaviour analysis, this research advances understanding of AI’s role as an organizational actor rather than a neutral tool. The findings have significant implications for ethical AI governance, leadership accountability, workforce decision-making, and public-sector institutions, supporting the need for proactive regulatory and organizational frameworks.

Keywords : Artificial Intelligence Governance, Decision Support Systems, Organizational Leadership, Ethical AI, Automation, Accountability.

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