Artificial intelligence in public management: risks, global measures, and the brazilian context
DOI:
https://doi.org/10.36428/revistadacgu.v18i33.730Keywords:
artificial intelligence, public integrity, digital transformation, innovationAbstract
This paper analyzes the risks and governance challenges associated with the adoption of artificial intelligence in the Brazilian public sector, drawing on international experiences for comparative purposes. It examines the potential impacts of AI on service quality, equity, and public integrity in government decision-making processes and policy outputs. Meanwhile, it explorer emerging global initiatives aimed at strengthening algorithmic accountability. The paper discusses both the opportunities and risks of AI use, presents the current Brazilian AI governance framework—including the national strategy and legislative developments— and compares these efforts with selected international approaches. Based on this analysis, it offers context-sensitive insights to advance accountability mechanisms in Brazil. The findings suggest that, although Brazil has engaged in the early stages of AI adoption, important gaps remain in the institutionalization of accountability frameworks. Addressing these gaps is essential for fostering responsible, trustworthy, and human-centered AI in the public sector.
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