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 ()
Additional contact information
J. Patricia Muñoz-Chávez: Technological University of the Metropolitan Zone of the Valley of Mexico
Julia I. Rodríguez-Morales: Meritorious Autonomous University of Puebla
Rosa L. Muñoz-Chávez: Metropolitan Autonomous University
Rigoberto García-Contreras: National School of Higher Studies, Leon Unit at the National Autonomous University of Mexico

A chapter in Artificial Intelligence in Government, 2025, pp 103-124 from Springer

Abstract: Abstract In recent years, artificial intelligence (AI) has revolutionized various sectors, including the public sector, by offering opportunities to enhance efficiency and effectiveness in service management and delivery. AI enables machines to autonomously perform tasks that typically require human intelligence, intending to improve efficiency, precision, and problem-solving across diverse contexts, including public sector applications. This study explores the challenges in the design and implementation of public sector social programs in Mexico, as well as the potential of AI to mitigate them while considering challenges such as ethical concerns, data privacy issues, the need to ensure universal access to technology, and the necessity for training to avoid existing societal gaps. Key areas where AI can make significant contributions include beneficiary identification, personalized interventions, and resource optimization. Finally, the study provides recommendations to fully harness AI’s potential in social programs.

Keywords: Artificial Intelligence; social programs; public sector; Mexico (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-031-87623-3_5

Ordering information: This item can be ordered from
http://www.springer.com/9783031876233

DOI: 10.1007/978-3-031-87623-3_5

Access Statistics for this chapter

More chapters in Public Administration and Information Technology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().