INTRODUCING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN ACCOUNTING AND AUDITING: OPPORTUNITIES AND LIMITATIONS
DOI:
https://doi.org/10.5281/zenodo.18811865Keywords:
artificial intelligence, accounting, audit, digital transformation, automation, financial reporting, risk management, machine learning, data security, fraud detectionAbstract
Digital transformation processes are deeply penetrating all sectors, including the accounting and auditing
system. In particular, the introduction of Artificial Intelligence (AI) technologies is fundamentally changing the processes
of processing, analyzing and controlling financial data. This article analyzes the main directions, advantages and existing
disadvantages of using artificial intelligence in the field of accounting and auditing.
The results of the study show that AI-based programs allow for the rapid and accurate processing of large volumes
of financial data, reducing errors, detecting fraud, and automating audit processes. At the same time, there are also
disadvantages such as excessive dependence on technology, problems with data security, high implementation costs,
and a lack of qualified specialists.
The article substantiates the necessary organizational, technical, and legal conditions for the effective use of artificial
intelligence and highlights the prospects for the future development of this technology
References
Davenport, T., & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Reviews
Brynjolfsson, E. & McAfee, A. (2017). Machine, Platform, Crowd: Harnessing Our Digital Future. W. W. Norton &
Company.
Kokina, J., & Davenport, T. H. (2017). The Emergence of Artificial Intelligence: How Automation and AI Can Improve
Performance in Accounting and Auditing. Journal of Emerging Technologies in Accounting.
Warren, J. D., Moffitt, K. C., & Byrnes, P. (2015). How Big Data Will Change Accounting. Accounting Horizons.
Smith, A. (2020). AI in Finance and Accounting: Risks and Opportunities. Financial Technology Journal.
Issa, H., Sun, T., & Vasarhelyi, M. A. (2016). Research Ideas for Artificial Intelligence in Auditing: The Formalization of
Audit and Workforce. Journal of Emerging Technologies in Accounting.
Sutton, S. G., Holt, M., & Arnold, V. (2016). Continuous Auditing and Continuous Monitoring: AI Applications in Audit
Practice. International Journal of Accounting Information Systems.
Vasarhelyi, M. A., & Alles, M. (2017). The “NOW” Economy and the Traditional Audit Process: Opportunities and
Challenges. Journal of Information Systems.
Warren Jr, J. D. (2019). AI and the Future of Accounting: What Educators and Professionals Need to Know. Journal
of Accountancy.
Gepp, A., & Kumar, K. (2018). Applying Machine Learning in Financial Statement Audits. Journal of Emerging
Technologies in Accounting.
Leslie, D. (2019). Understanding AI Ethics and Safety in Financial Systems. Finance and Society Journal.
Kokina, J., & Blanchette, S. (2019). AI and Machine Learning: Adoption in Accounting and Auditing. Accounting Today.
Appelbaum, D., & Nehmer, R. (2021). AI and the Transformation of the Audit Profession. Auditing: A Journal of Practice
& Theory.
Brynjolfsson, E., Rock, D., & Syverson, C. (2020). The Productivity J-Curve: How AI Boosts Productivity After Initial
Adoption. Harvard Business Review.
Alles, M. G., & Gray, G. L. (2016). Continuous Accounting and Connected Reporting: The Role of AI in Big Data.
Journal of Accounting Literature.
