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| dc.title | Artificial Intelligence and the Redesign of Government |
| dc.contributor.author | Naranjo Bautista, Sandra |
| dc.contributor.author | Alessandro, Martín |
| dc.contributor.author | Ortiz De Zarate, Juan Manuel |
| dc.contributor.orgunit | Institutions for Development Sector |
| dc.contributor.orgunit | Institutional Capacity of the State Division |
| dc.coverage | Latin America |
| dc.coverage | The Caribbean |
| dc.date.available | 2026-09-28T00:09:00 |
| dc.date.issue | 2026-09-28T00:09:00 |
| dc.description.abstract | This paper presents a novel artificial intelligencebased methodology to analyze and redesign public sector organizational structures. State architectures in Latin America and the Caribbean have often evolved incrementally, producing functional overlaps, institutional gaps, and misalignment between formal mandates and government priorities. Traditional functional reviews remain valuable but face structural limits when applied to large volumes of dispersed legal and administrative documents. The methodology proposed here combines natural language processing, semantic extraction of institutional functions, systematic comparison of mandates, and visualization tools to assess two core dimensions of organizational design: strategic alignment and functional coherence. Evidence from applications in five countries shows that AI can generate systematic, comparable, and actionable diagnostics in weeks rather than months. The paper also introduces PlanosEstado, a prospective tool that allows governments to simulate how proposed reforms would interact with the existing state architecture before implementation. The approach strengthens evidence-based institutional reform and supports more strategic, transparent, and fiscally responsible decisions. |
| dc.format.extent | 59 |
| dc.identifier.doi | http://dx.doi.org/10.18235/0014541 |
| dc.identifier.url | https://publications.iadb.org/publications/english/document/Artificial-Intelligence-and-the-Redesign-of-Government.pdf |
| dc.identifier.url | https://publications.iadb.org/publications/spanish/document/Inteligencia-artificial-para-el-analisis-y-rediseno-de-la-estructura-estatal.pdf |
| dc.language.iso | en |
| dc.publisher | Inter-American Development Bank |
| dc.subject | Public Administration |
| dc.subject | Artificial Intelligence |
| dc.subject | Best Practices |
| dc.subject | Regulation |
| dc.subject | Natural Language Processing |
| dc.subject | Ministries |
| dc.subject | Public Policy |
| dc.subject | Gross Domestic Product |
| dc.subject | Public Sector |
| dc.subject | Fiscal Policy |
| dc.subject.jelcode | H11 - Structure, Scope, and Performance of Government |
| dc.subject.jelcode | H83 - Public Administration • Public Sector Accounting and Audits |
| dc.subject.jelcode | O32 - Management of Technological Innovation and R&D |
| dc.subject.jelcode | O38 - Government Policy |
| dc.subject.jelcode | D73 - Bureaucracy • Administrative Processes in Public Organizations • Corruption |
| dc.subject.keywords | artificial intelligence;public sector reform;organizational design;functional revisions;institutional fragmentation |
| dc.type | Monographs |
| idb.identifier.pubnumber | IDB-MG-01363 |
| idb.operation | RG-E2005 |