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Guide to implementing artificial intelligence projects in the public sector

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Abstract

This practical guide aims to assist public institutions with the design, development and responsible implementation of artificial intelligence (AI) projects, from identifying the problem to deploying the solution in real-world settings. It proposes a clear three-phase road map (exploration, development and real-world implementation), structured into specific steps, with trigger questions, key decisions and minimum deliverables at each stage. The approach combines public value, technical data and governance, which helps determine when to use AI, how to compare it to non-AI-based alternatives and how to manage the risks associated with data, bias, privacy, security and accountability. The guide includes practical tools —such as checklists, institutional readiness criteria, prototyping, testing and continuous monitoring— that are in line with the principles of AI accountability. It is aimed at management and at technical, legal and operational teams, and it seeks to establish a common language that facilitates useful, auditable and sustainable AI projects in the public sector.

Suggested Citation

  • -, 2026. "Guide to implementing artificial intelligence projects in the public sector," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 90476, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    • Handle: RePEc:ecr:col093:90476
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    File URL: http://repositorio.cepal.org/handle/11362/90476
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