Implementation of Artificial Intelligence Systems in Public Administration in Latin America: Impacts and Challenges

Bryan Smith Contreras-Yupanqui

LatIA, 2025, vol. 3, 288

Abstract: Introduction: an analysis of scientific production on the implementation of artificial intelligence in public administration in Latin America during the 2020-2024 period provides insight into the trends and areas of greatest impact. This field has experienced significant growth in 2021 and 2023, reflecting the academic and public interest in the challenges and opportunities that AI presents in the public sector. Methods: a bibliometric review of scientific publications related to artificial intelligence in public administration was conducted, considering the temporal, geographic, and thematic distribution of articles indexed in international academic databases. Results: Brazil (18 publications), Mexico (12 publications), and Colombia (10 publications) are the leading countries in Latin America regarding AI implementation research. The most frequent topics (accounting for 62% of publications) address operational efficiency, digital governance, transparency, and citizen engagement. Qualitative findings indicate that AI adoption improves decision-making and process automation but faces persistent challenges, including ethical considerations (reported in 45% of studies), data privacy issues (38%), and limited technical capacity (33%). Conclusions: the overview highlights the complexity and diversity of approaches adopted to study artificial intelligence in the public sector. It also highlights the need to strengthen research in Latin America to consolidate its own capabilities and respond to the ethical, technical, and social challenges posed by the adoption of AI in government management.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dbk:rlatia:v:3:y:2025:i::p:288:id:1062486latia2025288

DOI: 10.62486/latia2025288

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