Leveraging Artificial Intelligence for Smarter Records and Archival Systems in Nigerian Public Administration

The efficiency of public administration in Nigeria is often hindered by outdated records management practices, including manual filing, paper-based storage, and fragmented digital systems. These methods compromise data security, accessibility, and accountability. This paper explores the potential of Artificial Intelligence (AI) in transforming records and archival systems in Nigerian ministries. It examines the prospects of AI in automating data organization, improving information retrieval, enhancing transparency, and safeguarding sensitive government data. The study further highlights key challenges such as infrastructural deficits, data privacy concerns, funding limitations, and resistance to technological change. Recommendations are provided to guide policy formulation, capacity building, and sustainable adoption of AI in Nigeria’s public sector records management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17244964
Primary Topic
Agriculture, Water, and Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Artificial Intelligence for Smarter Records and Archival Systems in Nigerian Public Administration

Zenodo (CERN European Organization for Nuclear Research)
Agriculture, Water, and Health
article

Leveraging Artificial Intelligence for Smarter Records and Archival Systems in Nigerian Public Administration

article en

Abstract

The efficiency of public administration in Nigeria is often hindered by outdated records management practices, including manual filing, paper-based storage, and fragmented digital systems. These methods compromise data security, accessibility, and accountability. This paper explores the potential of Artificial Intelligence (AI) in transforming records and archival systems in Nigerian ministries. It examines the prospects of AI in automating data organization, improving information retrieval, enhancing transparency, and safeguarding sensitive government data. The study further highlights key challenges such as infrastructural deficits, data privacy concerns, funding limitations, and resistance to technological change. Recommendations are provided to guide policy formulation, capacity building, and sustainable adoption of AI in Nigeria’s public sector records management.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Agriculture, Water, and Health
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