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Artificial Intelligence in Government

Edited by Rodrigo Sandoval-Almazán () and David Valle-Cruz ()

in Public Administration and Information Technology from Springer, currently edited by Rodríguez Bolívar, Manuel Pedro

Date: 2025
ISBN: 978-3-031-87623-3
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Chapters in this book:

Introduction: Artificial Intelligence in Latin American Public Administration: An Initial Approach
Rodrigo Sandoval-Almazan and David Valle-Cruz
Application of Artificial Intelligence in Latin American Public Sector: A PRISMA Study
David Valle-Cruz, Ángel Gabriel Estévez-Pedraza, Enrique Hernandez-Laredo, Rubí Esmeralda Rosales-Chavero and Martín Carlos Vera-Estrada
Public Servants as Catalysts: Steering the Adoption of Artificial Intelligence
Mauricio Covarrubias and Jorge Enrique Pérez
Benefits of Artificial Intelligence in the Public Sector: An Analysis from the Perspective of the State Governments of Mexico
Edgar A. Ruvalcaba-Gomez and Victor H. Garcia-Benitez
Exploring the Potential of Integrating Artificial Intelligence in the Design and Implementation of Social Programs in Mexico
J. Patricia Muñoz-Chávez, Julia I. Rodríguez-Morales, Rosa L. Muñoz-Chávez and Rigoberto García-Contreras
Artificial Intelligence in Public Administration: Mapping Institutional Ecosystems Across Five Latin American Governments
Adrian O. Millan-Vargas and Rodrigo Sandoval-Almazan
Regulation by Algorithms? An Analysis of Peruvian and Colombian Regulators
María Antonieta Merino
Transparency and Rationality in Peruvian Public Works Assisted by AI: A Literature Review
Oscar Miranda-Hospinal and David Valle-Cruz
Harnessing Artificial Intelligence and Visual Analytics for Modeling Government-Citizen Interaction in Argentinean Institutions
Rocio Hubert, Gabriela Diaz, Ana Maguitman, Elsa Estevez and Carlos Chesñevar
Integrating IoT and YOLO-Based AI for Intelligent Traffic Management in Latin American Cities
Gonzalo Valdovinos-Chacón, Aldo Ríos-Zaldivar, David Valle-Cruz and Eréndira Rendón Lara

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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitec:978-3-031-87623-3

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DOI: 10.1007/978-3-031-87623-3

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