The Main Barrier to AI Adoption in the Public Sector is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases Without Incidents
The adoption of generative artificial intelligence in the public sector has been treated predominantly as a technological problem, with the expectation that productivity gains would follow from increasingly capable models. This paper argues, drawing on two auditable cases in the Brazilian Public Service, that the determining barrier to adoption observed in these units was not technological but training-related, and describes the four-layer structured pedagogical methodology developed by the auth
Record details
Published: 1 June 2026
Source: arXiv
Category: Research
Topics: Jobs & economy · Transparency
Retrieved: 14 July 2026
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ethics.ai (1 June 2026), “The Main Barrier to AI Adoption in the Public Sector is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases Without Incidents,” evidence record 3319, https://ethics.ai/record/3319 (originally published by arXiv).
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