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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">accounting</journal-id><journal-title-group><journal-title xml:lang="ru">Учет. Анализ. Аудит</journal-title><trans-title-group xml:lang="en"><trans-title>Accounting. Analysis. Auditing</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2408-9303</issn><issn pub-type="epub">2619-130X</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2408-9303-2024-11-6-24-33</article-id><article-id custom-type="elpub" pub-id-type="custom">accounting-671</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОТЧЕТНОСТЬ ОРГАНИЗАЦИЙ.   Дискуссия. Корпоративная отчетность: проблемы и пути их решения</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REPORTING ORGANIZATIONS.  Discussion. Corporate Reporting: Problems and Solutions</subject></subj-group></article-categories><title-group><article-title>Будущее искусственного интеллекта в бухгалтерском учете</article-title><trans-title-group xml:lang="en"><trans-title>The Future of Artificial Intelligence in Accounting</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4973-1448</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Никифорова</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Nikiforova</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Наталья Александровна Никифорова — кандидат экономических наук, доцент, профессор кафедры бизнес-аналитики факультета налогов, аудита и бизнес-анализа</p><p>Москва</p></bio><bio xml:lang="en"><p>Natalya A. Nikiforova — Cand. Sci. (Econ.), Assoc. Prof., Prof. of the Department of Business Analytics, Faculty of Taxes, Audit and Business Analysis</p><p>Moscow </p></bio><email xlink:type="simple">nanikiforova@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>10</day><month>02</month><year>2025</year></pub-date><volume>11</volume><issue>6</issue><fpage>24</fpage><lpage>33</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Никифорова Н.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Никифорова Н.А.</copyright-holder><copyright-holder xml:lang="en">Nikiforova N.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://accounting.fa.ru/jour/article/view/671">https://accounting.fa.ru/jour/article/view/671</self-uri><abstract><p>Искусственный интеллект с его возможностями автоматизации процессов и агрегации данных оказывает значительное влияние на бизнес. Одно из таких последствий, исходя из этого изменения, относится к области бухгалтерского учета, где широко распространены опасения по поводу неограниченного использования автоматизированных процессов. Целью статьи является всестороннее исследование текущих тенденций и прогнозов, а также анализ потенциального влияния этих технологий на различные сферы человеческой деятельности и общественные процессы. Искусственный интеллект выступает как одна из самых быстроразвивающихся областей современной науки и техники, предоставляя новые возможности для оптимизации производственных процессов, улучшения качества жизни и создания интеллектуальных систем, способных решать сложные задачи без вмешательства человека. Основные методы исследования основаны на общих принципах формулирования и проверки гипотез, логических рассуждениях, а также методах контент-анализа. Это позволило собрать аналитический материал и сделать обзор всей информации, представленной в исследовании. Рассматривая преимущества и недостатки искусственного интеллекта, автор показывает сходства и различия между искусственным интеллектом и человеческим интеллектом. Автор знакомит с историей искусственного интеллекта, чтобы понять последствия его внедрения в сферу бухгалтерского учета. Результаты исследования показали, что будущее бухгалтерского учета в эпоху доминирования искусственного интеллекта предполагает не только автоматизацию и повышение эффективности процессов, но и полную трансформацию роли бухгалтера в организации. Это открывает новые горизонты для профессионалов, готовых адаптироваться к условиям быстро меняющегося цифрового мира.</p></abstract><trans-abstract xml:lang="en"><p>The business landscape is being reshaped by artificial intelligence’s (AI) process automation and data aggregation. The consequence of this change is in accounting, where concerns about the unlimited use of automated processes are widespread. The paper aimed to comprehensively examine current trends and forecasts and to analyze the potential impact of these technologies on various areas of human activity and social processes. AI rapidly advances, offering opportunities for improved production, quality of life, and problem-solving. AI-powered systems can settle complex problems autonomously. Formulating and testing hypotheses, logical reasoning, and content analysis are foundational to major research methods. This allows to accumulate analytical material and review all the information collected during the research. The paper examines AI’s strengths and weaknesses to highlight its similarities and differences in human intelligence. The author explores AI’s history to set the stage for a discussion of its future effects on accounting. Also, the author analyzes these publications to predict the future of accounting in an AI-driven workplace. Artificial intelligence cannot easily replace human qualities. This study’s results, accessible to a broad audience, reveal that AI’s impact on accounting extends beyond automation and efficiency gains to a fundamental reshaping of the accountant’s organizational function. Professionals ready for a rapidly changing digital world will find new opportunities here.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>бухгалтерский учет</kwd><kwd>анализ информации</kwd><kwd>искусственный интеллект</kwd><kwd>человеческий интеллект</kwd></kwd-group><kwd-group xml:lang="en"><kwd>accounting</kwd><kwd>information analysis</kwd><kwd>artificial intelligence</kwd><kwd>human intelligence</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Frey C., Osborne M. The future of employment. How susceptible are jobs to computerization? Working Paper. Oxford: Oxford Martin School; 2013. 79 p.</mixed-citation><mixed-citation xml:lang="en">Frey C., Osborne M. 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