The impact of AI and Python on Accounting Audit in North American enterprise systems for the years 2021 to 2023

Authors

  • Stephe Barrera Beraun Universidad Peruana De Ciencias Aplicadas, Perú
  • Alexandra Enciso Tomasto Universidad Peruana De Ciencias Aplicadas, Perú
  • Mario Leon Olivares Universidad Peruana De Ciencias Aplicadas, Perú
  • Nidia Llamoca Álvarez Universidad Peruana De Ciencias Aplicadas, Perú
  • Omar Larios Universidad Peruana De Ciencias Aplicadas, Perú
  • Veronica Mendoza Ibarra Universidad Peruana De Ciencias Aplicadas, Perú
  • Rosella Urdanegui Sibina Universidad Peruana De Ciencias Aplicadas, Perú

DOI:

https://doi.org/10.18687/LACCEI2025.1.1.2211

Keywords:

AI and Python, Accounting Audit, Internal Control Assessment, Advanced Data Analysis, Fraud and Anomaly Detection

Abstract

In the rapidly evolving domain of accounting auditing, the integration of Artificial Intelligence (AI) and Python has emerged as a transformative element in North America between 2021 and 2023. This study examines the impact of these technologies on internal control assessment, advanced data analysis, and fraud and anomaly detection. These tools have enhanced audit processes by automating repetitive tasks, enhancing the accuracy of analysis of large volumes of data, and facilitating early identification of risks. The study underscores the significance of advanced algorithms that enable a proactive approach to risk management, while concurrently highlighting the ethical and security challenges posed by the utilization of these technologies. It emphasizes the necessity for governance policies and continuous training to ensure the effective and ethical use of AI and Python in auditing processes. The study's findings underscore the importance of human oversight and ethical regulation to ensure the effectiveness and transparency of these technologies.

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Published

2025-07-27

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).

How to Cite

Barrera Beraun, S., Enciso Tomasto, A., Leon Olivares, M., Llamoca Álvarez, N., Larios, O., Mendoza Ibarra, V., & Urdanegui Sibina, R. (2025). The impact of AI and Python on Accounting Audit in North American enterprise systems for the years 2021 to 2023. LACCEI, 1(12). https://doi.org/10.18687/LACCEI2025.1.1.2211

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