Subject. The article discusses artificial intelligence (AI) implementation in accounting and auditing and risks that should be taken into account to successfully integrate modern technologies into professional practice. Objectives. The aim is to identify opportunities and risks inherent in the use of artificial intelligence in the automation of accounting and auditing processes, to justify ways to enhance efficiency and minimize associated risks. Methods. The study employs methods of risk systematization and classification, the theoretical analysis of existing scientific works on the use of AI in auditing and accounting. Results. We systematized risks associated with AI implementation in accounting and auditing, developed methodological recommendations for their mitigation, including strategic, legal, technical, and organizational aspects. The paper notes that professional competencies of accountants and auditors should be adapted to the new challenges and requirements arising from the use of AI. Conclusions. The study provides a deeper understanding of risks associated with the use of AI in accounting and auditing, and proposes approaches for their effective management. The developed recommendations have practical significance for organizations implementing AI, and can be used to improve qualifications of professionals in this field.
Keywords: artificial intelligence, accounting and auditing practices, AI implementation risk, methodological recommendation, professional competence
References:
Gokhberg L.M., Turovets Yu.V., Vishnevskii K.O. et al. Iskusstvennyi intellekt v Rossii: tekhnologii i rynki [Artificial Intelligence in Russia: Technologies and Markets]. Moscow, ISSEK HSE Publ., 2025, 148 p.
Davenport T.H., Ronanki R. Artificial intelligence for the real world. Harvard Business Review, 2018, vol. 96, no. 1-2, pp. 108–116.
Gunasekaran A., Papadopoulos T., Dubey R. et al. Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 2017, vol. 70, pp. 308–317. URL: Link
Boitush O.A., Smorodina E.A. [Prospects for implementing artificial intelligence in financial management systems]. Vestnik Akademii znanii = Bulletin of the Academy of Knowledge, 2024, no. 5, pp. 455–458. URL: Link (In Russ.)
Brycheev A.S. [Application of artificial intelligence in government bodies: Challenges and prospects]. Vestnik evraziiskoi nauki, 2024, vol. 16, no. s6. (In Russ.) URL: Link
Rust R.T., Huang M-H., Maksimovic V. The feeling economy: Managing in the next generation of artificial intelligence (AI). California Management Review, 2019, vol. 61, iss. 4, pp. 43–65.
Wilson H.J., Daugherty P.R. Collaborative intelligence: Humans and AI are joining forces. Harvard Business Review, 2018, vol. 96, iss. 7-8, pp. 114–123.
Abuzov A.Yu. [Movement of financial capital and risks associated with it]. Voprosy ekonomiki i prava = Issues of Economics and Law, 2023, no. 176, pp. 36–40. (In Russ.)
Konovalova M.E., Abuzov A.Yu. [Mathematical model of investment portfolio optimization taken into risk and financial constraints in enterprise management]. Fundamental'nye issledovaniya = Fundamental Research, 2024, no. 1, pp. 20–24. (In Russ.)
Man'ko N.P., Ivanov V.E., Rassokhina T.V. et al. [Model competencies of readiness of organization managers to implement artificial intelligence in the course of professional retraining]. Chelovecheskii kapital = Human Capital, 2024, no. 6, pp. 174–181. (In Russ.)