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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with OASIS Tables with MathML3 v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" dtd-version="1.4" article-type="research-article" xml:lang="en"><front><journal-meta><journal-title-group><journal-title xml:lang="ru">Новый юридический журнал</journal-title></journal-title-group><issn publication-format="print">3034-4395</issn><issn publication-format="electronic">3034-4395</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.24412/3034-4395-2026-3-103-111</article-id><article-categories><subj-group><subject>Other</subject></subj-group></article-categories><title-group><article-title xml:lang="ru">Три новых вида судебной экспертизы в системе противодействия коррупции: алгоритмическая, психолого-лингвистическая и финансово-трассировочная экспертизы</article-title><trans-title-group xml:lang="en"><trans-title>Three new types of forensic expertise in the anti-corruption system: algorithmic, psycholinguistic and financial tracing expertise</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Капитонова</surname><given-names>Эльвира Вильусовна</given-names></name><name xml:lang="en"><surname>Kapitonova</surname><given-names>Elvira Vilusovna</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/><email>sadykova.elvira2013@mail.ru</email></contrib><aff-alternatives id="aff1"><aff><institution xml:lang="en">Senior Specialist at the Prosecutor’s Office of the Republic of Tatarstan, Kazan, Russia</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="ru">ведущий специалист, прокуратура Республики Татарстан, Казань, Россия, ORCID ID 0009-0001-1501-8591</institution></aff></aff-alternatives></contrib-group><pub-date pub-type="epub" iso-8601-date="2026-08-18"><day>18</day><month>08</month><year>2026</year></pub-date><issue>3</issue><fpage>103</fpage><lpage>111</lpage><history><date date-type="received" iso-8601-date="2026-08-11"><day>11</day><month>08</month><year>2026</year></date><date date-type="accepted" iso-8601-date="2026-08-17"><day>17</day><month>08</month><year>2026</year></date></history><self-uri content-type="pdf" xlink:href="tri-novyh-vida-sudebnoy-ekspertizy-v-sisteme-protivodeystviya-korruptsii.pdf" xlink:title="PDF"/><abstract xml:lang="ru"><p>Статья посвящена проблеме адаптации уголовно-процессуального инструментария к цифровой трансформации коррупционных преступлений. На основе анализа зарубежного опыта Бразилии, Великобритании, Малайзии, Сингапура, Гонконга и стран Европейского Союза обосновывается необходимость внедрения в российское уголовное судопроизводство трёх новых видов судебных экспертиз – алгоритмической, психолого-лингвистической и финансово-трассировочной. Сформулированы конкретные предложения по изменению уголовно-процессуального законодательства, направленные на легализацию указанных экспертиз и создание организационных условий для их практического применения. В статье показано, что традиционные виды судебных экспертиз не приспособлены к исследованию нейросетевых алгоритмов, завуалированных речевых маркеров коррупционного сговора и обезличенных денежных потоков. Международный опыт демонстрирует эффективность новых экспертных инструментов при расследовании сложных коррупционных схем. Предлагается дополнить Уголовно-процессуальный кодекс Российской Федерации нормами, регламентирующими назначение и производство указанных видов экспертиз, создать государственные реестры экспертов и разработать типовые методики. Реализация предложенных мер позволит повысить раскрываемость коррупционных преступлений с использованием цифровых технологий, сократить сроки расследования и создать условия для реальной конфискации криптовалютных активов. Предлагаемая модель может служить ориентиром для совершенствования законодательства в других странах.</p></abstract><abstract xml:lang="en" abstract-type="summary"><p>The article is devoted to the problem of adapting criminal procedure instruments to the digital transformation of corruption offences. Based on an analysis of international experience in Brazil, the United Kingdom, Malaysia, Singapore, Hong Kong and the countries of the European Union, the article justifies the need to introduce three new types of forensic expertise into Russian criminal proceedings: algorithmic, psycholinguistic and financial tracing. Specific proposals are put forward for amending criminal procedure legislation, aimed at legalising these forms of expert examination and creating the organisational conditions for their practical application. The article shows that traditional types of forensic expertise are not adapted to the study of neural network algorithms, veiled speech markers of corruption collusion and anonymised financial flows. International experience demonstrates the effectiveness of new expert tools in investigating complex corruption schemes. It is proposed to supplement the Criminal Procedure Code of the Russian Federation with norms regulating the appointment and production of these types of expertise, to create state registers of experts and to develop standard methodologies. The implementation of the proposed measures will increase the detection rate of corruption offences using digital technologies, reduce investigation time and create conditions for the real confiscation of cryptocurrency assets. The proposed model can serve as a guide for improving legislation in other countries.</p></abstract><kwd-group xml:lang="ru"><kwd>алгоритмическая экспертиза</kwd><kwd>психолого-лингвистическая экспертиза</kwd><kwd>финансово-трассировочная экспертиза</kwd><kwd>коррупция</kwd><kwd>цифровые доказательства</kwd><kwd>искусственный интеллект</kwd><kwd>расследование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>algorithmic analysis</kwd><kwd>psycholinguistic analysis</kwd><kwd>financial and transaction tracing analysis</kwd><kwd>corruption</kwd><kwd>digital evidence</kwd><kwd>artificial intelligence</kwd><kwd>investigation</kwd></kwd-group></article-meta></front><back><ref-list><ref id="ref1"><mixed-citation publication-type="other" xml:lang="ru">Иванов С.И. Криптовалюта как предмет взяточничества: проблемы доказывания и пути их решения // Российское право: образование, практика, наука. 2024. № 1. С. 44–53.</mixed-citation></ref><ref id="ref2"><mixed-citation publication-type="other" xml:lang="ru">Капитонова Э.В. Модель «Алгоритмического свидетеля»: процессуальные и технические основы использования данных искусственного интеллекта в уголовном доказывании // Парадигма. 2026. № 1-1. С. 281–286.</mixed-citation></ref><ref id="ref3"><mixed-citation publication-type="other" xml:lang="ru">Tecnologia e combate à corrupção: o emprego de soluções tecnológicas na detecção de crimes // Revista de Estudos Criminais. 2024. С. 22–24.</mixed-citation></ref><ref id="ref4"><mixed-citation publication-type="other" xml:lang="ru">Santos V.L.B.A., Carvalho Júnior J.G., Souza R.R., Oliveira A.B. Technology and the fight against corruption: the use of technological solutions in crime detection // Revista de Estudos Criminais. 2025. No. 1. P. 18–25.</mixed-citation></ref><ref id="ref5"><mixed-citation publication-type="other" xml:lang="ru">Brasil. Tribunal de Contas da União. Relatório de auditoria operacional: uso de inteligência artificial na fiscalização de licitações. Brasília: TCU, 2023.</mixed-citation></ref><ref id="ref6"><mixed-citation publication-type="other" xml:lang="ru">Unlocking AI's potential in anti-corruption: Hype vs. reality // U4 Anti-Corruption Resource Centre. 2025. 7 January.</mixed-citation></ref><ref id="ref7"><mixed-citation publication-type="other" xml:lang="ru">European Public Prosecutor's Office. Annual Report 2024. Luxembourg: EPPO, 2025.</mixed-citation></ref><ref id="ref8"><mixed-citation publication-type="other" xml:lang="ru">MACC integrates AI, blockchain to combat sophisticated corruption // New Straits Times. 2025. 12 March.</mixed-citation></ref><ref id="ref9"><mixed-citation publication-type="other" xml:lang="ru">Malaysia tightens forensic defences as AI-made evidence muddies investigations // CIO SEA. 2026. 7 August.</mixed-citation></ref><ref id="ref10"><mixed-citation publication-type="other" xml:lang="ru">Wachter S., Mittelstadt B., Russell C. Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR // Harvard Journal of Law &amp;amp; Technology. 2018. Vol. 31. No. 2. P. 841–887.</mixed-citation></ref><ref id="ref11"><mixed-citation publication-type="other" xml:lang="ru">Comparative Analysis of Certified vs. Non-Certified AI Tools in Criminal Proceedings // International Journal of Digital Evidence. 2026. Vol. 15. No. 1. P. 22–35.</mixed-citation></ref><ref id="ref12"><mixed-citation publication-type="other" xml:lang="ru">Капитонова Э.В. Аспекты доказывания коррупционных составов в условиях действия экономических санкций // Актуальные вопросы устойчивого развития государства, общества и экономики: сб. науч. ст. 4-й Всерос. науч.-практ. конф. Курск, 2025. Т. 2. С. 293–295.</mixed-citation></ref><ref id="ref13"><mixed-citation publication-type="other" xml:lang="ru">Shuy R.W. The Language of Bribery Cases. Oxford: Oxford University Press, 2013. 288 p.</mixed-citation></ref><ref id="ref14"><mixed-citation publication-type="other" xml:lang="ru">Shuy R.W. Linguistic Battles in Trademark Disputes. New York: Palgrave Macmillan, 2002. 256 p.</mixed-citation></ref><ref id="ref15"><mixed-citation publication-type="other" xml:lang="ru">Razali I., Rajamanickam R., Dahlan N.K. What exactly do you mean? An analysis of the speech and written document in Malaysian Bribery Cases through the Lens of Forensic Linguistics // Pakistan Journal of Life and Social Sciences. 2024. Vol. 22. No. 2. P. 20853–20864.</mixed-citation></ref><ref id="ref16"><mixed-citation publication-type="other" xml:lang="ru">Komisi Pemberantasan Korupsi Republik Indonesia. Laporan Tahunan 2024. Jakarta: KPK, 2025.</mixed-citation></ref><ref id="ref17"><mixed-citation publication-type="other" xml:lang="ru">Linguistic Features of Bribery Cases in Ethiopian Federal Courts // East African Journal of Law and Justice. 2023. Vol. 6. No. 1. P. 33–47.</mixed-citation></ref><ref id="ref18"><mixed-citation publication-type="other" xml:lang="ru">Fuoli M. Trust, discourse, and corporate corruption: The case of Enron // Cambridge Elements Language and Linguistics. Cambridge: Cambridge University Press, 2026.</mixed-citation></ref><ref id="ref19"><mixed-citation publication-type="other" xml:lang="ru">Transparency International. Отчёт о транснациональных расследованиях коррупции в ЕС. Берлин: TI, 2025.</mixed-citation></ref><ref id="ref20"><mixed-citation publication-type="other" xml:lang="ru">Linguistic Evidence in Corruption Trials: A New Frontier // International Journal of Speech, Language and the Law. 2019. Vol. 26. No. 2. P. 189–205.</mixed-citation></ref><ref id="ref21"><mixed-citation publication-type="other" xml:lang="ru">Basel Institute on Governance. Following the Money: Quick Guide to Financial Investigations. Basel: Basel Institute on Governance, 2023. 40 p.</mixed-citation></ref><ref id="ref22"><mixed-citation publication-type="other" xml:lang="ru">The Position and Role of Follow the Money Methodology in Proving Corruption Cases // Garuda – Garba Rujukan Digital. 2025.</mixed-citation></ref><ref id="ref23"><mixed-citation publication-type="other" xml:lang="ru">Independent Commission Against Corruption of Hong Kong. Webinar on Digital and Accounting Forensics: Practical Application in Anti-Corruption Cases. Hong Kong: ICAC, 2025.</mixed-citation></ref><ref id="ref24"><mixed-citation publication-type="other" xml:lang="ru">Transparently.ai. AI-Driven Forensic Accounting: Case Studies. Singapore: Transparently. ai, 2025.</mixed-citation></ref><ref id="ref25"><mixed-citation publication-type="other" xml:lang="ru">The Sentry. Follow the Money: Case Studies in Asset Tracing. Washington: The Sentry, 2024.</mixed-citation></ref><ref id="ref26"><mixed-citation publication-type="other" xml:lang="ru">INTERPOL. Silver Notices: Tracking Criminal Assets Across Borders. Lyon: INTERPOL, 2026.</mixed-citation></ref><ref id="ref27"><mixed-citation publication-type="other" xml:lang="ru">Crown Office and Procurator Fiscal Service. Annual Report 2024–2025. Edinburgh: COPFS, 2025.</mixed-citation></ref><ref id="ref28"><mixed-citation publication-type="other" xml:lang="ru">Artificial Intelligence and Machine Learning in the Transformation of Forensic Accounting // MDPI. 2026. 10 July.</mixed-citation></ref><ref id="ref29"><mixed-citation publication-type="other" xml:lang="ru">Cybercheck Evidence Challenged in Multiple US Courts // Digital Evidence Journal. 2025. Vol. 14. No. 3. P. 13–22.</mixed-citation></ref><ref id="ref30"><mixed-citation publication-type="other" xml:lang="en">Ivanov S.I. Cryptocurrency as a Subject of Bribery: Problems of Proof and Ways to Solve Them // Russian Law: Education, Practice, Science. 2024. No. 1. pp. 44–53.</mixed-citation></ref><ref id="ref31"><mixed-citation publication-type="other" xml:lang="en">Kapitonova E.V. The “Algorithmic Witness” Model: Procedural and Technical Foundations of Using Artificial Intelligence Data in Criminal Evidence // Paradigm. 2026. No. 1-1. pp. 281–286.</mixed-citation></ref><ref id="ref32"><mixed-citation publication-type="other" xml:lang="en">Tecnologia e combate à corrupção: o emprego de soluções tecnológicas na Detectção de Crimes // Revista de Estudos Criminais. 2024. pp. 22–24.</mixed-citation></ref><ref id="ref33"><mixed-citation publication-type="other" xml:lang="en">Santos V.L.B.A., Carvalho Júnior J.G., Souza R.R., Oliveira A.B. Technology and the fight against corruption: the use of technological solutions in crime detection // Revista de Estudos Criminais. 2025. No. 1. P. 18–25.</mixed-citation></ref><ref id="ref34"><mixed-citation publication-type="other" xml:lang="en">Brazil. Tribunal de Contas da União. Relatório de auditoria operacional: uso de inteligência artificial na fiscalização de licitações. Brasília: TCU, 2023.</mixed-citation></ref><ref id="ref35"><mixed-citation publication-type="other" xml:lang="en">Unlocking AI's potential in anti-corruption: Hype vs. reality // U4 Anti-Corruption Resource Centre. 2025. 7 January.</mixed-citation></ref><ref id="ref36"><mixed-citation publication-type="other" xml:lang="en">European Public Prosecutor's Office. Annual Report 2024. Luxembourg: EPPO, 2025.</mixed-citation></ref><ref id="ref37"><mixed-citation publication-type="other" xml:lang="en">MACC integrates AI, blockchain to combat sophisticated corruption // New Straits Times. 2025. 12 March.</mixed-citation></ref><ref id="ref38"><mixed-citation publication-type="other" xml:lang="en">Malaysia tightens forensic defenses as AI-made evidence muddies investigations // CIO SEA. 2026. 7 August.</mixed-citation></ref><ref id="ref39"><mixed-citation publication-type="other" xml:lang="en">Wachter S., Mittelstadt B., Russell C. Counterfactual Explanations Without Opening the Black Box: Automated Decisions and the GDPR // Harvard Journal of Law &amp;amp; Technology. 2018. Vol. 31.No. 2. P. 841–887.</mixed-citation></ref><ref id="ref40"><mixed-citation publication-type="other" xml:lang="en">Comparative Analysis of Certified vs. Non-Certified AI Tools in Criminal Proceedings // International Journal of Digital Evidence. 2026. Vol. 15.No. 1. P. 22–35.</mixed-citation></ref><ref id="ref41"><mixed-citation publication-type="other" xml:lang="en">Kapitonova E.V. Aspects of Proving Corruption Offenses under Economic Sanctions // Current Issues of Sustainable Development of the State, Society, and Economy: Coll. of Scientific Articles. 4th All-Russian Scientific and Practical Conf. Kursk, 2025. Vol. 2. pp. 293–295.</mixed-citation></ref><ref id="ref42"><mixed-citation publication-type="other" xml:lang="en">Shuy R.W. The Language of Bribery Cases. Oxford: Oxford University Press, 2013. 288 p.</mixed-citation></ref><ref id="ref43"><mixed-citation publication-type="other" xml:lang="en">Shuy R.W. Linguistic Battles in Trademark Disputes. New York: Palgrave Macmillan, 2002. 256 p.</mixed-citation></ref><ref id="ref44"><mixed-citation publication-type="other" xml:lang="en">Razali I., Rajamanickam R., Dahlan N.K. What Exactly Do You Mean? An analysis of the speech and written document in Malaysian Bribery Cases through the Lens of Forensic Linguistics // Pakistan Journal of Life and Social Sciences. 2024. Vol. 22.No. 2. P. 20853–20864.</mixed-citation></ref><ref id="ref45"><mixed-citation publication-type="other" xml:lang="en">Komisi Pemberantasan Korupsi Republik Indonesia. Laporan Tahunan 2024. Jakarta: KPK, 2025.</mixed-citation></ref><ref id="ref46"><mixed-citation publication-type="other" xml:lang="en">Linguistic Features of Bribery Cases in Ethiopian Federal Courts // East African Journal of Law and Justice. 2023. Vol. 6.No. 1. P. 33–47.</mixed-citation></ref><ref id="ref47"><mixed-citation publication-type="other" xml:lang="en">Fuoli M. Trust, discourse, and corporate corruption: The case of Enron // Cambridge Elements Language and Linguistics. Cambridge: Cambridge University Press, 2026.</mixed-citation></ref><ref id="ref48"><mixed-citation publication-type="other" xml:lang="en">Transparency International. Report on transnational investigations into corruption in the EU. Berlin: TI, 2025.</mixed-citation></ref><ref id="ref49"><mixed-citation publication-type="other" xml:lang="en">Linguistic Evidence in Corruption Trials: A New Frontier // International Journal of Speech, Language and the Law. 2019. Vol. 26.No. 2. P. 189–205.</mixed-citation></ref><ref id="ref50"><mixed-citation publication-type="other" xml:lang="en">Basel Institute on Governance. Following the Money: Quick Guide to Financial Investigations. Basel: Basel Institute on Governance, 2023. 40 p.</mixed-citation></ref><ref id="ref51"><mixed-citation publication-type="other" xml:lang="en">The Position and Role of Following the Money Methodology in Proving Corruption Cases // Garuda – Garba Rujukan Digital. 2025.</mixed-citation></ref><ref id="ref52"><mixed-citation publication-type="other" xml:lang="en">Independent Commission Against Corruption of Hong Kong. Webinar on Digital and Accounting Forensics: Practical Application in Anti-Corruption Cases. Hong Kong: ICAC, 2025.</mixed-citation></ref><ref id="ref53"><mixed-citation publication-type="other" xml:lang="en">Transparently.ai. AI-Driven Forensic Accounting: Case Studies. Singapore: Transparently. ai, 2025.</mixed-citation></ref><ref id="ref54"><mixed-citation publication-type="other" xml:lang="en">The Sentry. Follow the Money: Case Studies in Asset Tracing. Washington: The Sentry, 2024.</mixed-citation></ref><ref id="ref55"><mixed-citation publication-type="other" xml:lang="en">INTERPOL. Silver Notices: Tracking Criminal Assets Across Borders. Lyon: INTERPOL, 2026.</mixed-citation></ref><ref id="ref56"><mixed-citation publication-type="other" xml:lang="en">Crown Office and Procurator Fiscal Service. Annual Report 2024–2025. Edinburgh: COPFS, 2025.</mixed-citation></ref><ref id="ref57"><mixed-citation publication-type="other" xml:lang="en">Artificial Intelligence and Machine Learning in the Transformation of Forensic Accounting // MDPI. 2026. 10 July.</mixed-citation></ref><ref id="ref58"><mixed-citation publication-type="other" xml:lang="en">Cybercheck Evidence Challenged in Multiple US Courts // Digital Evidence Journal. 2025. Vol. 14.No. 3. P. 13–22.</mixed-citation></ref></ref-list></back></article>
