[EGOV LIST] CFC-Artificial Intelligence in Government. Latin American Challenges and Expectations

[Rodrigo Sandoval]

AI is a new frontier for government management in Latin American countries, where digital transformation is still in its early stages. The incorporation of AI practices, processes and regulations is essential for success.
Research on AI in Latin American governments is limited and recent. Corvalan (2018) discussed the challenges and opportunities of the Prometea implementation in Argentina's judiciary system. Esteves et al. (2020) updated this system's use in Argentina in a BID report. Faundez-Ugalde et al. (2020) described the use of AI in tax administrations in Latin America. Barredo-Ibañez et al. (2021) combined AI with communication and democracy for Mexico, Ecuador, and Colombia.
However, there is still little knowledge about the challenges these countries face in implementing these new technologies.
This book will examine the opportunities, legal and regulatory frameworks needed to implement AI into government organizations, as well as the infrastructure requirements for successful implementation. It will also explore potential resistance from public officials towards technology adoption and ways to overcome it. Additionally, it will consider the digital divide that exists within Latin American societies, which may hinder access to AI tools for some citizens. Finally, it will discuss ethical considerations related to AI use in government processes, such as privacy concerns and algorithmic bias.

We welcome chapter proposals based on empirical research and theoretical frameworks on the following topics. These topics are not exclusive and can be complementary:

-   Artificial intelligence in the Latin American public sector
-   Cases of artificial intelligence in Latin American Government
-   Best practices of artificial intelligence for developing public policies for the development
-   Machine learning applications in Government management
-   Predictive Analytics and Decision-making in public policies
-   Chatbots and virtual assistants for the public sector
-   Fraud detection and prevention
-   Artificial intelligence in tax systems
-   Artificial intelligence tools for cybersecurity and national security: policy and cases
-   Advances in Robotics for the Public Sector
-   Best practices of artificial intelligence for environmental monitoring
-   Uses of artificial intelligence in public health for disease management and Prevention
-   Disaster communication using artificial intelligence
-   Smart cities using IoT and artificial intelligence
-   Artificial Intelligence in public education
-   Ethical Considerations for AI Use in government processes
-   AI for public sector management in developing countries
-   Challenges faced in implementing AI in government processes in Latin America
-   Generative Artificial Intelligence in the public sector
Important Dates

Full Chapters Submission: October 14, 2023
Review Results Returned November 17, 2023
Final Acceptance: November 20th, 2023
 Final Chapter Submission: December 1st, 2023
Publication: April.-May 2024

Submission Procedure

Full chapters are expected to be submitted by October 29, 2023, and all interested authors must consult the guidelines for manuscript submissions at https://www.springernature.com/gp/authors All chapters must have a minimum of 8,000-12,000 words.
All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Publisher
This book is scheduled to be published by Springer- Public Administration and Information Technology Series. For additional information regarding the publisher, please visit https://www.springer.com/series/10796
This publication is anticipated to be released in 2024.

Inquiries
Rodrigo Sandoval-Almazan
 Universidad Autónoma del Estado de México, México
rsandovala at uaemex.mx
David Valle-Cruz
 Universidad Autónoma del Estado de México, México
davacr at uaemex.mx

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Dr. Rodrigo Sandoval Almazán
Profesor Tiempo Completo
SNI Nivel 2
Facultad de Ciencias Políticas y Sociales
Universidad Autónoma del Estado de México
722 2150494 y 722 2131607 ext. 147
email: rsandovuaem at gmail.com
Twitter: @horus72
www.rodrigosandoval.mx

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Rodrigo Sandoval Almazan PHD
Associate Profesor
Political Sciences Faculty
Autonomous University of the State of Mexico
www.uaemex.mx
rsandovuaem at gmail.com rsandovala at uaemex.mx
@horus72