Artificial Intelligence and digital governance in public administration: systematic review
DOI:
https://doi.org/10.5281/zenodo.20835763Keywords:
Artificial intelligence, public administration, Latin AmericaAbstract
The study analyzes the relationship between artificial intelligence and digital governance in public administration through a systematic review in Scopus and Web of Science covering the 2018–2025 search period. The literature search was conducted using PRISMA 2020 and its extension, PRISMA-S, to ensure transparency in the identification, screening, eligibility, and inclusion stages of the studies. Initially, 379 records were identified. After removing 101 duplicates, 278 documents were screened, from which 50 scientific articles were ultimately selected. The findings reveal a recent and rapidly growing body of scientific literature, focused primarily on ethics, transparency, responsibility, and accountability (92%); regulation of artificial intelligence (84%); risks, oversight, and institutional challenges (82%); decision automation (80%); and efficiency, modernization, or improvement of public services (70%). However, only 24% of the studies explicitly addressed issues related to equity, inclusion, or inequality. The study concludes that AI in public administration requires responsible governance, continuous human oversight, clear regulations, and the strengthening of state capacities.Downloads
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