Governance and Artificial Intelligence: A Scientometric Narrative of Two Interwoven Stories

Document Type : Original Article

Authors

1 Ph.D. Candidate in Technology Management, Faculty of Management and Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran

2 Assistant Professor, Department of Technology Management, Faculty of Management and Accounting, Islamic Azad University, South Tehran Branch, Tehran, Iran

10.22034/jstp.2025.11814.1837

Abstract

Artificial intelligence, as a transformative technology, profoundly impacts societies and governance systems. This influence is studied in two main domains: AI governance and the application of AI in governance. This research aims to explore the bidirectional relationship between these two concepts and to elucidate their similarities, differences, and synergies through a scientometric analysis using the Bibliometrix tool in the R environment. Data were collected from the Web of Science database and analyzed to identify thematic trends, conceptual clusters, and key focal points in both domains. The findings indicate that ethics, data governance, and responsible regulation are critical shared themes between the two areas. AI governance primarily focuses on regulatory challenges such as mitigating algorithmic biases, ensuring transparency, and enhancing accountability. Meanwhile, the application of AI in governance emphasizes optimizing public services, data-driven decision-making, and increasing transparency in government systems. This study highlights the deep interconnections between AI and governance, suggesting significant policy and research implications in this evolving landscape.

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References

References
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