The digital Ethos in the Ethical Regulation of Artificial Intelligence in Public Management
Article Sidebar
Main Article Content
Abstract
Artificial intelligence is a critical technology for the transformation of public management in Latin America and has sparked debates about the urgent need for ethical frameworks. This research focuses on the use of ethical principles in the governance of artificial intelligence (AI) as part of public administration and, also, on the contribution of Ethos Digital in such regulatory processes. A qualitative approach has been adopted, which involves carrying out a systematic review of the literature based on the PRISMA protocol. An exhaustive compilation and analysis of studies published during the period 2020‐2025 was carried out to identify regulatory patterns and trends in the region. Among the most notable findings, it was evident that the regulation of artificial intelligence in Latin America has a heterogeneous and fragmented development, which is socio-culturally conditioned and characterized by the overwhelming need to reconcile conformity with international standards to local particularities. During the discussion, divergences became evident regarding technological autonomy, democratic control and the suitability of a digital governance model adapted to the contexts. The Digital Ethos has made remarkable strides in developing regulations that promote fairness, transparency, and accountability, which has greatly contributed to the advancement of ethical AI for the benefit of society.
Downloads
Article Details
Authors who publish in this journal agree to the following terms: Authors retain the copyright and guarantee the journal the right to be the first publication of the work, as well as, licensed under a Creative Commons Attribution License that allows others share the work with an acknowledgment of the authorship of the work and the initial publication in this journal. Authors may separately establish additional agreements for the non-exclusive distribution of the version of the work published in the journal (for example, placing it in an institutional repository or publishing it in a book), with acknowledgment of its initial publication in this journal. Authors are allowed and encouraged to disseminate their work electronically (for example, in institutional repositories or on their own website) before and during the submission process, as it may lead to productive exchanges as well as further citation earliest and oldest of published works.
How to Cite
References
Aguilar, J. M. (2024). Trayectoria y modelo de gobernanza de las políticas de inteligencia artificial (IA) de los países de América del Norte. Revista Justicia, 29(45), 1–19. https://doi.org/10.17081/just.29.45.7162
Aguirre Aguilar, G. (2023). Creencias y redes sociales: la reinvención de lo popular en las narrativas digitales. Autoctonía. Revista de Ciencias Sociales e Historia, 7(2), 687–726. https://doi.org/10.23854/autoc.v7i2.328
Alonso, E. (2014). Actions and agents. En K. Frankish & W. Ramsey (Eds.), The Cambridge Handbook of Artificial Intelligence (pp. 232–246). Cambridge University Press. https://doi.org/10.1017/CBO9781139046855
Antonov, A. (2022). Gestionar la complejidad: la contribución de la UE a la gobernanza de la inteligencia artificial. Revista CIDOB d’Afers Internacionals, 131, 41–68. https://doi.org/10.24241/rcai.2022.131.2.41
Ávila-Hernández, F. M., Picarella, L., & Martín-Fiorino, V. R. (2025). Los desafíos éticos-jurídicos de la inteligencia artificial en Europa y Colombia. Clío. Revista de Historia, Ciencias Humanas y Pensamiento Crítico, 5(9), 866–907.
Bahamón, A., & Barrero, J. P. (2020). ¿Regulación o no para la IA? Propuesta de regulación híbrida de la inteligencia artificial en Colombia. Revista Colombiana de Tecnologías de Avanzada, 2(36), 27–33.
Barrio Andrés, M. (2021). Hacia la regulación jurídica de la inteligencia artificial. Revista del Instituto de Ciencias Jurídicas de Puebla, 15(48), 35–53. https://doi.org/10.1870-2147-rius-15-48-35
Buiten, M. C. (2019). Towards intelligent regulation of artificial intelligence. European Journal of Risk Regulation, 10(1), 41–59. https://doi.org/10.1017/err.2019.8
Chaparro-Martínez, E. I., Álvarez-Muñoz, P., & D’Armas-Regnault, M. (2016). Gestión de la información: Uso de las bases de datos Scopus y Web of Science con fines académicos. Universidad, Ciencia y Tecnología, 20(81), 166–175. http://ve.scielo.org/scielo.php?script=sci_arttext&pid=S1316-48212016000400003&lng=es&tlng=es
De Oliveira, N. H. (2024). A decolonial critical theory of artificial intelligence: Intersectional egalitarianism, moral alignment, and AI governance. Filosofia Unisinos, 25(1), e25114. https://doi.org/10.4013/fsu.2024.251.14
Dignum, V. (2021). The role and challenges of education for responsible AI. London Review of Education, 19(1), 1–11. https://doi.org/10.14324/LRE.19.1.01
Esquivel Zambrano, L. M., & Galvis Martínez, J. C. (2022). Derechos y deberes en la inteligencia artificial: Dos debates inconclusos entorno a su regulación. Nuevo Derecho, 18(31), 1–17. https://doi.org/10.25057/2500672X.1479
Esteban, J., & Cárcar, B. (2019). La inteligencia artificial (IA): Aplicación jurídica y regulación en los servicios de salud. En XXVIII Congreso (Vol. 29 [Extraordinario], pp. 265–276).
Filgueiras, F. (2021). Inteligencia artificial en la administración pública: ambigüedad y elección de sistemas de IA y desafíos de gobernanza digital. Revista del CLAD Reforma y Democracia, 79, 5–38. https://www.redalyc.org/articulo.oa?id=357570194001
Fundación Dialnet. (2010). Dialnet y la visibilidad de la producción científica en español. En II Encuentro Iberoamericano de Editores Científicos – EIDEC 2010, Biblioteca Nacional, Buenos Aires. Universidad de La Rioja. https://dialnet.unirioja.es
Hernández Fernández, L. (2015). REDALYC aliado para la visibilidad... Revista de Ciencias Sociales (Ve), 21(3), 289–291.* http://www.redalyc.org/articulo.oa?id=28042299001
Jiang, M. (2024). Models of state digital sovereignty from the Global South: Diverging experiences from China, India and South Africa. Policy & Internet, 16(4), 727–738. https://doi.org/10.1002/poi3.427
Kalema, N. L. (2025). The ‘Digital Transformation for Development’ anti‐politics machine: A case study on global digital development governance and public‐sector digital transformation in Uganda. Policy & Internet, 16(4), 750–763. https://doi.org/10.1002/poi3.436
Karokis-Mavrikos, V. (2024). What can drive a digital governance transformation? Greece, the Covid-19 crisis and “a jump-started Lamborghini”. Policy & Internet, 1–22. https://doi.org/10.1002/poi3.428
Khan, S., Mazhar, T., Shahzad, T., Khan, M. A., Rehman, A. U., Saeed, M. M., & Hamam, H. (2025). Harnessing AI for sustainable higher education: Ethical considerations, operational efficiency, and future directions. Discover Sustainability, 6(23). https://doi.org/10.1007/s43621-025-00809-6
Llamas Covarrubias, J. Z., Mendoza Enríquez, O. A., & Graff Guerrero, M. (2022). Enfoques regulatorios para la inteligencia artificial (IA). Revista Chilena de Derecho, 49(3), 31–62. https://doi.org/10.7764/R.493.2
Manjarrés, Á., Fernández-Aller, C., López-Sánchez, M., Rodríguez-Aguilar, J. A., & Sierra Castañer, M. (2021). Artificial intelligence for a fair, just, and equitable world. IEEE Technology and Society Magazine, March 2021, 20–24. https://doi.org/10.1109/MTS.2021.3056292
Martín-Casals, M. (2022). Una aproximación a algunas iniciativas de la UE sobre la regulación de la responsabilidad por daños causados por sistemas de IA. Revista Ius et Praxis, 28(2), 3–24.
Mendoza Enríquez, O. A. (2021). El derecho de protección de datos personales en los sistemas de inteligencia artificial. Revista del Instituto de Ciencias Jurídicas de Puebla, 15(48), 179–207. https://doi.org/10.1870-2147-rius-15-48-179
Monasterio Astobiza, A. (2021). Gobernanza global de la IA. Cuadernos Salmantinos de Filosofía, 48, 187–211.
Ocaña-Fernández, Y., Valenzuela-Fernández, L. A., Vera-Flores, M. A., & Rengifo-Lozano, R. A. (2021). Inteligencia artificial aplicada a la gestión pública. Revista Venezolana de Gerencia, 26(94), 696–707. https://www.redalyc.org/articulo.oa?id=29069612013
Occhipinti, J. A., Prodan, A., Hynes, W., Buchanan, J., Green, R., Burrow, S., Eyre, H. A., Skinner, A., Hickie, I. B., Heffernan, M., Song, Y. J. C., Ujdura, G., & Tanner, M. (2025). Artificial intelligence, recessionary pressures and population health. Bulletin of the World Health Organization, 103, 155–163. https://doi.org/10.2471/BLT.24.291950
Omonijo, O. N., & Zhang, Y. (2025). Examining the relationship between technological innovation, environmental social governance and corporate sustainability: The moderating role of green operational innovation. Humanities and Social Sciences Communications, 12(107). https://doi.org/10.1057/s41599-025-04389-8
Otero Parga, M. (2023). ¿Puede la inteligencia artificial sustituir a la mente humana? Implicaciones de la IA en los derechos fundamentales y en la ética. Anales de la Cátedra Francisco Suárez, 57, 39–61. https://doi.org/10.30827/ACFS.v57i.24710
Piedra Alegría, J. (2023). Anotaciones iniciales para una reflexión ética sobre la regulación de la inteligencia artificial en la Unión Europea. Revista de Derecho, 28, e3264. https://doi.org/10.22235/rd28.3264
Revista de Privacidad y Derecho Digital. (2024). Monográfico Reglamento Europeo de IA (Núm. 34, Mayo–Agosto). [Edición especial].
Roy, J. (2024). Digital transformation versus Westminster traditionalism: Mindset, mechanisms and critical enablers of systemic adaptation. Canadian Public Administration, 67(4), 481–494. https://doi.org/10.1111/capa.12598
Sampedro, Z., & Oliva, J. C. (2023). Innovación y salud: Inteligencia artificial aplicada a la gestión sanitaria. Revista de la Sociedad Española de Informática de la Salud, 157, 5–15.
Sánchez Acevedo, M. E. (2024). Regulación de algoritmos y sistemas de IA para la toma de decisiones judiciales, la toma de decisiones con sistemas de IA en la justicia colombiana. Via Inveniendi et Iudicandi, 19(1), 73–104. https://doi.org/10.15332/19090528.10098
Souza e Silva, S., & Kalinke, M. A. (2024). Perspectivas teórico-filosóficas sobre a inteligência artificial à luz de Pierre Lévy. Revista Pesquisa Qualitativa, 12(30), 1–24. https://doi.org/10.33361/RPQ.2024.v.12.n.30.732
Stahl, B. C., et al. (2023). Responsible AI in Africa: Social and cultural studies of robots and AI. Springer.
Tironi, M., Vivanco, T., & Mollenhauer, K. (2023). Hacia un diseño distribuido en escenarios de crisis. Fricciones y futuros de los colectivos de la fabricación digital en Chile. Revista 180, 52, 89–101. https://doi.org/10.32995/rev180.Num-52.(2023).art-1098
Tummalapalli, H. K., Rao, A. N., Kamal, G., Kumari, N., & Swarup Kumar, J. N. V. R. (2025). Exploring AI-driven management: Impact on organizational performance, decision making, efficiency, and employee engagement. Journal of Advanced Research in Applied Sciences and Engineering Technology, 52(2), 148–163.
Veiga de Cabo, J., Martín-Pastor, B., Calvo-Tello, M., & Pablos-Martín, M. de. (2003). El modelo SciELO y su contribución a la difusión de las revistas de ciencias de la salud españolas. RCOE, 8(1), 67–72. https://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S1138-123X2003000100005
Vercelli, A. (2024). Regulaciones e inteligencias artificiales en Argentina. InMediaciones de la Comunicación, 19(1), 107–135. https://doi.org/10.18861/ic.2024.19.1.3549