Multimodal artificial intelligence for automation and transparency in the management of municipal meeting minutes

Authors

Keywords:

Artificial intelligence, multimodal, document management, automation.

Abstract

Objective: As of 2025, multimodal artificial intelligence is being used to automate the transcription, voice recognition, structured generation, and document management of municipal meeting minutes. The objective of this research was to develop a web application to reduce processing times, improve accuracy, and strengthen institutional transparency in the Municipality of Pastaza, Ecuador. Methodology: The study employed a mixed-methods approach, combining agile management techniques and user-centered strategies to ensure both technical effectiveness and social acceptance of the tool. Results and Discussion: The application integrates artificial intelligence components that automatically convert municipal session recordings into structured minutes, ensuring consistency, traceability, and compliance with current legal regulations. The results demonstrated significant improvements in the speed, quality, and accessibility of municipal information, proving that artificial intelligence can transform administrative processes and strengthen public transparency. Conclusion: The proposed solution constitutes a replicable digital government model focused on efficiency, citizen participation, and the technological modernization of the public sector. Contribution: It opens avenues for further research into institutional efficiency, citizen participation, and government transparency.

Downloads

Download data is not yet available.

Author Biographies

Rita Azucena  Díaz-Vásquez , Regional Autonomous University of the Andes, Ambato, Ecuador

 

 

 

 

Jorge Lenin Acosta-Espinoza, ITCA Higher Technological Institute, Ibarra, Ecuador

Jorge Lenin Acosta Espinoza. Magister en Gerencia Informática. Director de Educación a Distancia y en Línea, Instituto Superior Tecnológico ITCA, jlacosta@itca.edu.ec

 

 

 

 

Andrés-Roberto  León-Yacelga , Regional Autonomous University of the Andes, Ambato, Ecuador

 

 

 

 

Luis Javier  Molina-Chalacan, Regional Autonomous University of the Andes, Ambato, Ecuador

 

 

 

References

Alonso, J. G. (2021). Gestión documental y tecnologías emergentes en instituciones públicas. Revista de Administración Pública, 55(3), 123–145. https://doi.org/10.5281/zenodo.5123486

Antonio, J. (2024, 3 22). Inteligencia Artificial Multimodal: Una Revolución en la Forma en que las Máquinas Comprenden a los Humanos y al Mundo que les Rodea. https://medium.com/ai-short-articles/inteligencia-artificial-multimodal-una-revoluci%C3%B3n-en-la-forma-en-que-las-m%C3%A1quinas-comprenden-a-los-3b67d4e96a14

Barona, J. C., Torres, V. E., & Ayala, R. V. (2023). La inteligencia artificial en los procesos de administración pública. Revista Latinoamericana de ciencias sociales y humanidades. https://doi.org/10.56712/latam.v4i6.1541

Bezerra, F. A., Farias, J. M., & Sousa, R. C. (2024). Ecologías de aprendizaje digital en la era de la Inteligencia Artificial multimodalidad, multialfabetizaciones, tecnología y ética. uece, 16(2). https://doi.org/10.46230/lef.v16i2.13212

Biondi, G., Cagnoni, S., Capobianco, R., Franzon, V., Lisi, F. A., Milan, A., & Vallverdú, J. (2023). Ethical frameworks for AI-based administrative decision systems. Information Systems Frontiers, 6. https://doi.org/10.3389/frai.2023.1250209

Carreño, B. C. (2023). Gestión documental y transformación digital: retos y oportunidades en el sector administrativo público. Revista Multidisciplinaria RIIDG, 3(4), 1-14. https://doi.org/10.64041/riidg.v2i4.15

Dubaguntla, C. (2025). AI-Enhanced Citizen-Centric Workflows: Transforming Public Sector CRM Systems. Journal of E-Government Studies, 15(3), 379–388 https://doi.org/10.30574/wjaets.2025.15.3.0946

Encalada, N. Y. M., & Aguilar, A. A. A. (2025). Innovación y transformación digital en la administración pública: De la burocracia tradicional a la gobernanza digital. Horizon International Journal, 3(1), 40-59. https://editorialsphaera.com/index.php/hor/article/download/86/232

Fatima, I., Hassan, K. L., & Moinuddin. (2024). Machine Learning for Speech-to-Text: A Custom-CNN Model Approach. ResearchGate. https://doi.org/10.37285/bsp.oaisem2025.25

Ghosh, S., & Misra, S. (2019). Smart document management systems using AI: A review. Journal of Information Science, 45(2), 211–223. https://doi.org/10.1177/0165551518797527

Haig, L. (2025, enero 8). Cómo dockerizar una aplicación Django: guía paso a paso para principiantes. Docker. https://www.docker.com/blog/how-to-dockerize-django-app/

Hirschberg, J., & Manning, C. (2015). Advances in natural language processing. Science, 349(6245), 261–266. https://doi.org/https://doi.org/10.1126/science.aaa8685

Kowalski, T., Joulin, A., & Grave, E. (2020). Fast, accurate, and human-like speech transcription with deep learning. Proceedings of the ACL, 48, pp. 456–467. https://doi.org/10.18653/v1/2020.acl-main.42

Li, F., Zhao, J., & Wu, X. (2024). Artificial intelligence for public document automation in local governance. Government Information Quarterly, 41(1), 102778. https://doi.org/10.1016/j.giq.2024.102778

LOTAIP. (2025). Consejo de la judicatura. Funcionjudicial. https://www.funcionjudicial.gob.ec/lotaipcj/lotaip-2025/

MINTEL. (2025). Instrumento de Política Pública para la Transformación Digital Ecuador 2025-2030. Gobierno de la República del Ecuador. https://www.gobiernoelectronico.gob.ec/wp-content/uploads/2025/03/INSTRUMENTO-Politica-Publica-para-la-Transformacion-Digital-Ecuador-2025-2030-MINTEL-signed_f.pdf

Muralidhar, A., Lee, J., & Park, H. (2023). AI-driven governance: Enhancing transparency through automated documentation. Public Administration Review, 83(4), 899–913 https://doi.org/10.1111/puar.13625

OECD. (2022). Open Government Data Report 2022: Enhancing Digital Transparency and Citizen Trust. https://doi.org/10.1787/9789264808571-en

Reyna, E. J. (2024). Digital Transformation in Latin American Governance . Revista Latinoamericana de Ciencias Sociales y Humanidades. https://doi.org/10.56712/latam.v5i5.2774

Tumminia, J., Kuznecov, A., Tsilerides, S., Weinstein, I., McFee, B., MichaelPicheny, & Kaufman, A. R. (2021). Diarización de procedimientos judiciales Identificación y TTranscripción del discurso judicial de un tribunal grabadoaudio. ResearchGate. https://doi.org/https://doi.org/10.48550/arXiv.2104.01304

Wang, J., Jiang, H., Liu, Y., Ma, C., Zhang, X., Pan, Y., Liu, M., Gu, P., & Xia, S. (2024). Una revisión exhaustiva de los modelos de lenguaje multimodales de gran tamaño: rendimiento y desafíos en diferentes tareas. arxiv, 1. https://doi.org/10.48550/arXiv.2408.01319

Published

2026-10-08 — Updated on 2026-10-08

Versions

How to Cite

Díaz-Vásquez , R. A., Acosta-Espinoza, J. L., León-Yacelga , A.-R., & Molina-Chalacan, L. J. (2026). Multimodal artificial intelligence for automation and transparency in the management of municipal meeting minutes. Libraries. Research Annals, 22(No. Especial), 1–11. Retrieved from https://revistasbnjm.sld.cu/index.php/BAI/article/view/1183