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American Journal of Applied Science and Technology

Peer Reviewed | Open Access | E-ISSN: 2771-2745
Published Article

Normative Considerations of Automated Decision-Making in State Monetary Operations: A Holistic Review

Normative Considerations of Automated Decision-Making in State Monetary Operations: A Holistic Review

Authors

  • Dr. Aisha Farsi
    Department of Data Science, University of Technology and Applied Sciences, Muscat, Oman

Keywords:

Automated decision-making public finance algorithmic governance ethical AI

Abstract

The integration of automated decision-making systems into state monetary operations represents a significant transformation in public financial governance. These systems, driven by advanced algorithms, artificial intelligence, and data-intensive infrastructures, enable real-time analysis, predictive modeling, and autonomous policy adjustments. While such capabilities promise enhanced efficiency, precision, and responsiveness, they also raise critical normative concerns related to accountability, transparency, fairness, and institutional legitimacy. This paper provides a comprehensive and interdisciplinary examination of these normative considerations, focusing on the ethical, technical, and governance implications of automation in state financial systems.

The study adopts a holistic analytical approach, synthesizing insights from computational decision-making frameworks, including partially observable Markov decision processes (Kaelbling et al., 1998) and online planning algorithms such as DESPOT (Somani et al., 2013), alongside applied systems in autonomous environments. These technical models are examined in relation to their applicability in public financial decision-making contexts, where uncertainty, risk, and policy sensitivity are critical factors. The paper further integrates perspectives from intelligent control systems, distributed optimization, and connected system architectures (Li et al., 2018; Zheng et al., 2018), drawing parallels between autonomous vehicle decision-making and automated fiscal operations.

A central argument of this research is that the normative evaluation of automated systems must extend beyond technical performance to include ethical governance structures. Drawing on the framework proposed by Gondi (2025), the paper emphasizes the necessity of embedding ethical principles within system design to ensure responsible and equitable financial governance. The analysis identifies key challenges, including algorithmic opacity, systemic bias, and the erosion of human oversight, which can undermine public trust and institutional accountability.

The findings suggest that effective governance of automated decision-making in monetary systems requires an integrated framework that combines technical robustness, ethical safeguards, and institutional oversight. The paper concludes by proposing policy recommendations and research directions aimed at developing transparent, accountable, and ethically aligned automated financial systems.

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