JOURNAL OF IQRO – ЖУРНАЛ ИҚРО – IQRO JURNALI – volume 14, issue 01, 2025
ISSN: 2181-4341, IMPACT FACTOR ( RESEARCH BIB ) – 7,245, SJIF – 5,431
ILMIY METODIK JURNAL
Rewiever: Kattakurgan branch of
Samarkand state university, PhD
( technical sciences ), Sirojiddinov
Fazliddin Nasriddinovich
Kholdarov Muhammadaziz
Andijan state technical institute
3rd year student of the direction
“Accounting”
Khatamova Zebiniso
Andijan state technical institute
1st year student of the direction
“Accounting”
ANALYSIS OF THE USE OF ARTIFICIAL INTELLIGENCE IN AUDITING
PRACTICE
Annotation:
The article examines the possibilities of modernizing the audit sector through the
use of various digital technologies. The available software products for audit automation are
reviewed, and the possibilities of using artificial intelligence in the audit process are identified. It
is concluded that the digitalization of the audit field is inevitable, while it is currently not
possible to completely eliminate human resources and replace them with new digital
technologies in auditing. One can only predict a significant transformation of the "auditor"
profession, which may occur with the active introduction of artificial intelligence technologies
and the use of machinery.
Key words:
Audit, objectivity; professional skepticism; confidentiality; professional behavior,
processing.
Introduction.
In the modern world, with the digitalization of business, the use of AI
technologies for organizations is becoming a necessity. The pandemic has become a strong
impetus for the active use of artificial intelligence in all spheres of life. During this period, all
companies experienced significant changes in their business, and the audit field was also subject
to changes.
Auditing is the activity of conducting an audit and providing audit–related services carried out by
audit organizations and individual auditors. An audit is an independent audit of accounting
(financial) statements in order to express an opinion on the reliability of such statements [1].
The audit is based on the following basic principles:
objectivity;
professional skepticism;
confidentiality;
professional behavior.
Modern auditing is impossible to imagine without the use of digital technologies. To date,
artificial intelligence in auditing processes huge amounts of data, identifies the main directions
and anomalous deviations in them. Data collection, data processing, verification of the
correctness of reporting, forecasting – all these functions in the audit are performed by AI. The
rapid processing of a large amount of data and its structuring took up a significant amount of the
auditor's time. Artificial intelligence, having assumed the main functions of working with data,
significantly facilitated the work of the auditor. However, according to the author, a significant
percentage of overwork remains one of the unresolved problems in the auditor's work. On the
JOURNAL OF IQRO – ЖУРНАЛ ИҚРО – IQRO JURNALI – volume 14, issue 01, 2025
ISSN: 2181-4341, IMPACT FACTOR ( RESEARCH BIB ) – 7,245, SJIF – 5,431
ILMIY METODIK JURNAL
one hand, the reason for this is the laborious process of the audit itself, which requires a
sufficient level of qualification from a specialist, on the other hand, it is small, repetitive, routine
work that can be automated.
To date, artificial intelligence tools are actively used in the Big Four companies, so the so-called
"cognitive audit" subsection has already been identified in the audit. Cognitive technology in this
case refers to data processing technology, knowledge base-based data generation, diagnostics,
monitoring, and forecasting. However, as can be seen from practice, the introduction of artificial
intelligence in the part of the audit that requires data collection, processing, and classification is
not enough to reduce overwork [6, p. 291].
Unfortunately, in a developed economy and a fast-growing business, there are many ways and
schemes to circumvent the law in terms of fair financial conduct. In this regard, it is impossible
to imagine an audit without the subjective side of a person, this is the peculiarity of this field.
Consequently, the introduction of artificial intelligence tools directly into the verification process
itself is accompanied by high risks in assessing the correctness of the report. According to the
author, it is impossible to predict and predict the entire range of application of schemes for
avoiding legislation using AI, a human assessment is always required.
However, the audit process can be simplified by using it to perform routine work that takes a lot
of time. For example, in terms of writing memoranda and manuals for carrying out work on
checking financial statements.
As the auditor performs an audit of the financial statements, he must provide the results of the
audit procedures performed and conclude on the work done, attach appropriate audit evidence,
that is, prepare audit documentation.
Audit documentation is prepared throughout the entire audit process. This helps to better
understand the nature of the organization's financial activities at each stage of the audit. These
"interim conclusions" are drawn up by the auditor independently after conducting an audit of a
particular balance sheet item included in the audit. Writing such conclusions takes a certain
amount of time, which leads to an increase in processing time.
Based on the above, the author proposes a solution to this problem through the introduction of
artificial intelligence technologies. The basic requirements for maintaining financial statements
of organizations vary slightly from year to year, and some indicators do not require recalculation
methods over time. Such indicators include, for example, a reserve for doubtful debts. The
organization has the right to independently determine whether the debt is questionable and
determine the time of delay for accrual of the reserve. Accordingly, the conclusions about the
economic essence of these indicators do not change or change slightly. Therefore, this aspect,
according to the author, requires automation through the use of AI technologies.
The main results of the study.The economic environment is constantly changing, and in the
process of these changes, the number of companies implementing artificial intelligence in the
field of accounting and auditing is increasing. This will definitely increase the efficiency and
accuracy of the processes, but it is also necessary to take into account certain limitations and
risks.
To begin with, it is necessary to give the meaning of the concept of Artificial Intelligence in
order to understand how it is used in accounting and auditing.
JOURNAL OF IQRO – ЖУРНАЛ ИҚРО – IQRO JURNALI – volume 14, issue 01, 2025
ISSN: 2181-4341, IMPACT FACTOR ( RESEARCH BIB ) – 7,245, SJIF – 5,431
ILMIY METODIK JURNAL
Artificial intelligence is the part of computer science that is responsible for creating devices and
programs to solve problems previously understood only by the human brain. AI uses machine
learning methods, which AI uses to analyze data, draw conclusions, and make decisions.
For example, in accounting and auditing, AI can perform the following tasks:
1. Automation of financial data processing and analysis
2. Recognition and classification of documents (for example, invoices, receipts, contracts)
3. Automatic management of accounting records and logs
4. Prediction and optimization of financial indicators
5. Detecting anomalies in financial data
6. Creation of reports and analytical data for audit
7. Verification of compliance of financial statements with legislation and standards
8.
Monitoring and analysis of financial transactions
9. Automatic internal control and inspections
10. Forecasting and planning of the budget and financial operations.
Conclusion.
Many companies have only recently started the process of implementing AI in the
field of accounting and auditing, but large-scale progress is already noticeable. KPMG became
an example of such companies, this company announced the introduction of IBM Watson
cognitive technology, with the help of this technology, the company will be able to analyze
financial data and determine ways to increase profits.
References:
1. Borovskaya, E. V. Fundamentals of artificial intelligence [Electronic resource] : textbook.
manual / E. V. Borovskaya, N. A. Davydova. - 3rd ed. - M. : Laboratory of Knowledge, 2016. -
130 p.
2. Sosnovskaya, A.V. Artificial intelligence in the field of accounting /A.V. Sosnovskaya ;
scientific director A. N. Vajdaev // Progressive technologies and economics in mechanical
engineering: proceedings of the IX All-Russian Scientific and Practical Conference for students
and students, April 5-7, 2018, Jurga. Tomsk : TPU Publishing House, 2018. pp. 61-64.
3. Udalov A.A., Udalova Z.V. Development of integration processes in the context of digital
transformation of the agricultural economy // Innovations in agriculture. - 2018. - № 4 (29). - Pp.
392-399. 4. Udalov A.A.
4. Udalova Z.V. Introduction and development of digital technologies in agriculture // Actual
problems of science and practice: Gatchina Readings - 2019: collection of scientific papers based
on the materials of the VI International Scientific and Practical Conference, Gatchina, May 17-
18, 2019. Gatchina: State Institute of Economics, Finance, Law and Technology, 2019, pp. 562-
566.
5. Artificial intelligence in the representation of professional accountants [Electronic resource].
− Access mode: (URL: https://gaap.ru/news/155725 /. ) - Date of access: 09.11.23.
6. Artificial intelligence in the field of accounting [Electronic resource]. − Access mode: (URL:
https://rep.bstu.by/bitstream/handle/data/21389/8-10.pdf?sequence=1&isAllowed=y ) - Date of
access: 09.11.23.
7. On the robotization of accounting [Electronic resource]. − Access mode: (URL: https://vrn-
buh.ru/articles-2019/11/29-buh-robot.php . ) - Access date: 10.11.23.
8. Official KPMG website. Digital technologies in Russian companies [Electronic resource]. -
(URL:
https://kpmg.com/kz/ru/home/services/advisory/management-consulting/ita/digital-
transformation.html ).
9. Haldar, S., & Dey, P. K. (2021). Artificial Intelligence (AI) in Accounting: A Literature
Review. SN Business & Economics, 1-18.
JOURNAL OF IQRO – ЖУРНАЛ ИҚРО – IQRO JURNALI – volume 14, issue 01, 2025
ISSN: 2181-4341, IMPACT FACTOR ( RESEARCH BIB ) – 7,245, SJIF – 5,431
ILMIY METODIK JURNAL
10. Bhattacharya, A., & Sharma, A. (2020). Impact of artificial intelligence on accounting and
auditing: An overview. Journal of Advances in Management Research.
11. Hogan, C. E., & Wilkins, M. S. (2018). The future of accounting work: Preparing for an AI-
dominated era. The Journal ofAccountancy.
12. Olszak, C. M., & Bartuś, T. (2019). The Impact of Artificial Intelligence on the Accounting
Profession. In Information Systems Architecture and Technology: Proceedings of 40th
Anniversary International Conference on Information Systems Architecture and Technology-
ISAT 2019, Part III (pp. 291-300). Springer.
13. Galbraith J. K. (1967/2007). The New Industrial State. Princeton: Princeton University
Press.
