Journal of Social Science and Human Research Studies (JSSHRS) · Research article · Open access
Auditing Artificial Intelligence in Public Management: A Framework for Accountability, Transparency, and Ethical Governance
Juan Carlos Rodríguez Luna
22 December 2025 · Vol. 1, Issue 6, pp. 244-246
DOI: 10.65150/EP-jsshrs/V1E6/2025-04
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What is this article about?
The integration of Artificial Intelligence (AI) in public management has transformed governmental operations, decision-making processes, and service delivery mechanisms. However, this technological adoption introduces unprecedented challenges in accountability, transparency, bias mitigation, and ethical governance.
Article at a glance
- Published
- 22 December 2025
- Volume / issue / pages
- Vol. 1, Issue 6, pp. 244-246
- ISSN
- 3051-3561 (online) · 3051-3553 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
The integration of Artificial Intelligence (AI) in public management has transformed governmental operations, decision-making processes, and service delivery mechanisms. However, this technological adoption introduces unprecedented challenges in accountability, transparency, bias mitigation, and ethical governance. This article proposes a comprehensive framework for auditing AI systems in public sector contexts, addressing both technical and governance dimensions. Through systematic literature review and analysis of emerging regulatory frameworks, we identify critical audit domains including algorithmic transparency, data governance, decision explicability, bias detection, and compliance verification. The study examines case implementations in public procurement, social services, and administrative decision-making, drawing insights from international experiences and regulatory developments. Key findings reveal that effective AI auditing requires multi-dimensional approaches combining technical validation, ethical assessment, legal compliance verification, and stakeholder engagement. The proposed framework establishes methodological guidelines for internal auditors, external oversight bodies, and governance structures, emphasizing risk-based auditing strategies aligned with public sector accountability principles. This research contributes to the emerging discourse on AI governance in public administration by providing practical audit methodologies adaptable to diverse governmental contexts while maintaining democratic values and citizen protection standards.
Keywords: Artificial Intelligence Auditing, Public Management, Algorithmic Accountability, AI Governance, Public Sector Technology, Transparency
Cite this article
Juan Carlos Rodríguez Luna (2025). Auditing Artificial Intelligence in Public Management: A Framework for Accountability, Transparency, and Ethical Governance. Journal of Social Science and Human Research Studies, 1(6), 244-246. https://doi.org/10.65150/EP-jsshrs/V1E6/2025-04
@article{Juan2025,
title = {Auditing Artificial Intelligence in Public Management: A Framework for Accountability, Transparency, and Ethical Governance},
author = {Juan Carlos Rodríguez Luna},
journal = {Journal of Social Science and Human Research Studies},
year = {2025},
volume = {1},
number = {6},
pages = {244-246},
doi = {10.65150/EP-jsshrs/V1E6/2025-04},
url = {https://doi.org/10.65150/EP-jsshrs/V1E6/2025-04}
}Questions about this article
Who wrote this article?
Juan Carlos Rodríguez Luna.
Where and when was it published?
In Journal of Social Science and Human Research Studies, Volume 1, Issue 6, pages 244-246, published by EP Journals Group on 22 December 2025.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jsshrs/V1E6/2025-04 (https://doi.org/10.65150/EP-jsshrs/V1E6/2025-04).
How do I cite this article?
APA: Juan Carlos Rodríguez Luna (2025). Auditing Artificial Intelligence in Public Management: A Framework for Accountability, Transparency, and Ethical Governance. Journal of Social Science and Human Research Studies, 1(6), 244-246. https://doi.org/10.65150/EP-jsshrs/V1E6/2025-04
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