IDEAS home Printed from https://ideas.repec.org/h/spr/paitcp/978-3-031-87623-3_5.html
   My bibliography  Save this book chapter

Exploring the Potential of Integrating Artificial Intelligence in the Design and Implementation of Social Programs in Mexico

Author

Listed:
  • 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)

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.

Suggested Citation

  • J. Patricia Muñoz-Chávez & Julia I. Rodríguez-Morales & Rosa L. Muñoz-Chávez & Rigoberto García-Contreras, 2025. "Exploring the Potential of Integrating Artificial Intelligence in the Design and Implementation of Social Programs in Mexico," Public Administration and Information Technology,, Springer.
    • Handle: RePEc:spr:paitcp:978-3-031-87623-3_5
    DOI: 10.1007/978-3-031-87623-3_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:paitcp:978-3-031-87623-3_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.