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Application of Artificial Intelligence in Public Management Processes

  • Pedro Garcia-Carrera
  • , Grisi Bernardo
  • , Alfonso Fuentes-Calcino
  • , Wilver Auccahuasi

    Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

    1 Cita (Scopus)

    Resumen

    Public management is manifested from many necessary processes where the government is required to manage the main services for the benefit of the population. These processes can be classified as health services, managing the city, citizen services, information security, care of biodiversity and natural resources, the economy, construction services, telecommunications, managing electronic commerce processes and human talent management, among others. In this work we describe how the use of the different tools provided by artificial intelligence are changing the way of working of the main services provided by governments through public management. As a result, we present how public services are being influenced thanks to artificial intelligence, in order to understand how these trends are being influenced internationally and to be able to be progressively implemented in our national reality.

    Idioma originalInglés
    Título de la publicación alojada4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings
    EditorialInstitute of Electrical and Electronics Engineers Inc.
    Páginas1525-1530
    Número de páginas6
    ISBN (versión digital)9798331523923
    DOI
    EstadoPublicada - 1 ene. 2025
    Evento4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Bhimdatta, Nepal
    Duración: 18 feb. 202520 feb. 2025

    Serie de la publicación

    Nombre4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings

    Conferencia

    Conferencia4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025
    País/TerritorioNepal
    CiudadBhimdatta
    Período18/02/2520/02/25

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. ODS 3: Salud y bienestar
      ODS 3: Salud y bienestar

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