The influence of Artificial Intelligence on compliance with International Financial Reporting Standards (IFRS)
DOI:
https://doi.org/10.31637/epsir-2026-2664Keywords:
artificial intelligence, IFRS, digital accounting, regulatory compliance, blockchain, accounting automationAbstract
Introduction: This article analyzes the influence of artificial intelligence (AI) and emerging technologies on compliance with International Financial Reporting Standards (IFRS), considering their impact on the quality, accuracy, and traceability of financial information. Methodology: An integrative narrative literature review was conducted covering scientific publications from 2015 to 2025. The analysis included theoretical and empirical studies on artificial intelligence applied to accounting, auditing, and financial reporting, prioritizing research on technologies such as machine learning, natural language processing, robotic process automation, and blockchain within international regulatory contexts. Results: The evidence indicates that intelligent automation and machine learning strengthen key processes related to recognition, measurement, and disclosure required by IFRS. Additionally, Big Data and blockchain enhance transparency and consistency in financial reporting, although challenges related to technological adoption gaps and organizational limitations persist. Discussion: The reviewed studies highlight improvements in efficiency and standardization, but also identify risks associated with model explainability, and standardization, but also identify risks associated with model explainability, cybersecurity, and the need for continuous professional training, reinforcing the importance of maintaining professional judgment and technological oversight. Conclusions: Artificial intelligence does not replace accountants; rather, it transforms their role toward more analytical and strategic functions, representing an opportunity to modernize accounting practice and strengthen IFRS compliance.
Downloads
References
Almeida-Blacio, J. H., Naranjo-Armijo, F. G., Maldonado-Pazmiño, H. O. y Rodríguez-Lara, A. D. (2024). Inteligencia artificial como mecanismo eficiente de la contabilidad. Código Científico Revista de Investigación, 5(E3), 334-364. https://doi.org/10.55813/gaea/ccri/v5/nE3/320
Benavides-Cordero, Y. M. y Jaramillo-Calle, C. Y. (2024). Impacto de la tecnología blockchain en la transparencia y cumplimiento de las NIIF [Impact of blockchain technology on transparency and IFRS compliance]. Revista Multidisciplinaria Perspectivas Investigativas, 4(especial), 1-13. https://doi.org/10.62574/rmpi.v4iespecial.153
Caicedo-Basurto, R. L. y Casanova-Villalba, C. I. (2023). Impacto de las Normas Internacionales de Información Financiera (NIIF) en la comparabilidad de los estados financieros a través de la literatura reciente. Horizon Nexus Journal, 1(2), 32-47. https://doi.org/10.70881/hnj/v1/n2/16
Carvajal Flores, J. A. y Bastidas Logroño, D. J. (2025). Uso de la inteligencia artificial para facilitar el análisis y la aplicación de las Normas Internacionales de Información Financiera. Panorama Científico, 1(2), 52-60. https://acortar.link/Euq2cL
Erazo-Castillo, J. y De la A-Muñoz, S. (2023). Auditoría del futuro, la prospectiva y la inteligencia artificial para anticipar riesgos en las organizaciones. Revista Digital Novasinergia, 6(1), 105-119. https://doi.org/10.37135/ns.01.11.07
Gonzalez-Mejía, S. L., Chamorro-Quiñónez, J. G. y Rivera-Pizarro, C. F. (2024). Impacto de la inteligencia artificial en los procesos contables mediante revisión de tendencias y desafíos. Multidisciplinary Collaborative Journal, 2(2), 45-56. https://doi.org/10.70881/mcj/v2/n2/35
Joia, R. M. y Nakao, S. H. (2014). Adopción de IFRS y gerenciamiento de resultado en las empresas brasileñas de capital abierto. Revista de Educação e Pesquisa em Contabilidade, 8(1), 22-38. https://www.redalyc.org/pdf/4416/441642783003.pdf
Puerta, J. E., Castiblanco, D. C., Niño Beltrán, D. y Ospina Navarro, J. S. (2025). Impacto de la implementación de la inteligencia artificial en los procesos contables: Caso Contabiligroup SAS. Universidad del Sinú, Seccional Cartagena. https://acortar.link/an9NkP
Ramírez-Guaicha, K. W. y Ordóñez-Parra, Y. L. (2025). Auditoría financiera: Aplicación de tecnologías emergentes y análisis de datos en el sector comercial. Revista UGC, 3(2),
93-103. https://universidadugc.edu.mx/ojs/index.php/rugc/article/view/131
Reflexiones en torno a la regulación contable vinculada con la sustentabilidad, el greenwashing y la inteligencia artificial. (2024). Contabilidad y Auditoría, 59, 49-88. https://doi.org/10.56503/Contabilidad_y_Auditoria/Nro.59(30)/3016
Rojas, J. C. y Escobar, M. (2021). Beneficios del uso de tecnologías digitales en la auditoría externa: Una revisión de la literatura. Revista Facultad de Ciencias Económicas, 29(2), 45-65. https://doi.org/10.18359/rfce.5170
Toledo Castillo, N. R., Peñafiel Moncayo, I. R. y Carrasco Ruano, Y. T. (2021). Las NIC – NIIF dentro del proceso contable. AlfaPublicaciones, 3(3.1), 5767. https://doi.org/10.33262/ap.v3i3.1.77
Viteri Cevallos, C. J., Erazo Álvarez, J. C. y Torres Negrete, A. de las M. (2024). Integración de tecnologías innovadoras en las técnicas y herramientas de auditoría de gestión. Revista Universidad y Sociedad, 16(3), 240-250. https://acortar.link/qf5P1y
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Jacqueline Carranza Cabanillas, Damaris Perez Casas, Marina Silvestre Romero , Jose German Salinas Gamboa

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
