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The Transformation of Tax Auditing in the Context of AI

Yıl 2026, Cilt: 8 , 57 - 81 , 22.03.2026
https://doi.org/10.47103/bilturk.1892613
https://izlik.org/JA34EE32WE

Öz

Today, artificial intelligence technologies stand out as strategic tools that enhance the effectiveness of tax audits and enable the early detection of risks. This study examines how tax audit processes are being reshaped by artificial intelligence within the context of digital transformation. First, the conceptual framework of classical tax auditing is outlined; subsequently, the role and fundamental characteristics of artificial intelligence in the digitalization process are analyzed. In addition, different country practices are comparatively evaluated in order to identify common features and institutional differences. The findings indicate that artificial intelligence strengthens risk-based auditing, improves the allocation of audit resources, and facilitates the detection of tax losses and evasion. However, the success of such applications depends on data quality, institutional capacity, digital infrastructure, and human oversight.

Kaynakça

  • Akalın, G. (2014), Kalkınan Ekonomi: Türkiye’de Denetimin Etkinleştirilmesi. ss. 491–503, 29. Türkiye Maliye Sempozyumu, 16-20 Mayıs 2014 – Antalya.
  • Akkaya, H. (2025). Sahte Belge ile Mücadele Stratejisinde Dijitalleşme: Denetimde Yeni Yapay Zekâ Aracı KURGAN. 10.58830/ozgur.pub1095.c4368.
  • Akylbayeva G.K ve Baydauletov M.B. (2016). Tax audits: definition and methods. Journal of Economic Research & Business Administration, 114(2/2).
  • Anadolu Ajansı AA (2025) Maliye, yapay zeka desteğiyle iki yılda yapılan 578 milyar liralık alım satım işlemini riskli buldu,https://www.aa.com.tr/tr/ekonomi/maliye-yapay-zeka-destegiyle-iki-yilda-yapilan-578-milyar-liralik-alim-satim-islemini-riskli-buldu/3714857.
  • Anadolu Ajansı AA (2026). Naylon fatura, yapay zeka tabanlı KAŞİF ile anında yakalanıyor, https://www.aa.com.tr/tr/ekonomi/naylon-fatura-yapay-zeka-tabanli-kasif-ile-aninda-yakalaniyor/3804685#.
  • Andersen (2022). AI can help to find taxes in cash-first, evasive culture, https://it.andersen.com/en/ai-can-help-to-find-taxes-in-cash-first-evasiveculture/
  • Australian National Audit Office ANAO (2025), Governance of Artificial Intelligence at the Australian Taxation Office, https://www.anao.gov.au/sites/default/files/2025-02/Auditor-General_Report_2024-25_26.pdf.
  • Australian Taxation Office ATO (2025), ATO AI transparency statement, https://www.ato.gov.au/about-ato/commitments-and-reporting/information-and-privacy/ato-ai-transparency-statement.
  • Basic, N. (2025), Italy uses AI-Powered chatbot to detect VAT Fraud in real time, https://www.fiscal-requirements.com/news/4116.
  • Bassey, E., Mulligan, E. ve Ojo, A. (2022). A conceptual framework for digital tax administration - A systematic review. Government Information Quarterly. 39. 101754. 10.1016/j.giq.2022.101754.
  • Bird, R. M., & Zolt, E. M. (2008). Technology and Taxation in Developing Countries: From Hand to Mouse. SSRN Electronic Journal, 1-57, https://www.researchgate.net/publication/228231208_Technology_and_Taxation_in_Developing_Countries_From_Hand_to_Mouse.
  • BMC (2024). Johnson, J., Types of AI with Examples, https://www.bmc.com/blogs/artificial-intelligence-types/.
  • Bozkurt, P. (2016). Denetim kavramı ve denetim anlayışındaki gelişmeler. Denetişim ( 12 ), 56-62.
  • CIAT (2020). The use of Artificial Intelligence by tax administrations, a matter of principles, https://www.ciat.org/the-use-of-artificial-intelligence-by-tax-administrations-a-matter-of-principles/?lang=en.
  • Çember, E. (2026). Sahte Faturaya Dijital Fren; KAŞİF, https://cemberymm.com.tr/Sahte-Faturaya-Dijital-Fren-KASIF-748u.html
  • Dejlani, J., Shorvarzi, M. R., Masih Abadi, A., ve Mehrazin, A.(2024).Review of the Tax Audit Framework in the National Tax Administration. Business, Marketing, and Finance Open,1(6), 75-85.
  • European Commission (2018). Hıgh-Level Expert Group On Artıfıcıal Intellıgence, A Defınıtıon Of Aı: Maın Capabılıtıes And Scıentıfıc Dıscıplınes, Brussels. https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of_ai_18_december_1.pdf
  • Feng. D. (2017), Yapay Zeka + Vergilendirme", vergi sisteminde "son teknoloji" haline gelecek, https://www.shui5.cn/article/ef/113244.html.
  • Gez, H. (2011). Türkiye’de Kayıt Dışı Ekonominin Önlenmesinde Vergi Denetiminin Rolü ve Afyonkarahisar İlinde Faaliyet Gösteren Mükelleflere Yönelik Bir Uygulama, Yayınlanmamış Yüksek Lisans Tezi, T.C. Afyon Kocatepe Üniversitesi Sosyal Bilimler Enstitüsü Maliye Anabilim Dalı, Afyonkarahisar.
  • Günay, H.F. (2025). Çeşitli Faktörler Işığında Türkiye'de Vergi Denetim Etkinliğinin İncelenmesi. Uluslararası Bilimsel Araştırmalar Dergisi, 10(1), 101-117. https://doi.org/10.23834/isrjournal.1615066.
  • Hazine ve Maliye Bakanlığı (2023), 2022 Yılı Faaliyet Raporu https://ms.hmb.gov.tr/uploads/2024/04/Hazine-ve-Maliye-Bakanligi-2023-Yili-Faaliyet-Raporu.pdf.
  • Huang, Z. (2018). Discussion On The Development Of Artificial İntelligence İn Taxation, American Journal of Industrial and Business Management. 8(08), 1817-1824.
  • IBFD (2025). Artificial Intelligence Usage in EU Tax Administrations, https://www.ibfd.org/sites/default/files/2025-01/artificial-intelligence-usage-in-eu-tax-administrationsv7.pdf?utm.
  • İlgün, M. (2020).Vergi Denetim Sürecinde Büyük Veri Analitiği. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi 8 (1),1-24. https://izlik.org/JA89MN79JH .
  • Jing-Yi, L. (2019). Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence” Development Strategy. Advances in Economics, Business and Management, 109, 1029-1034.
  • Karataş Durmuş, N. ve Arıtı Erdem İ. (2023).Vergi İdaresi 3.0: Yapay Zekâ Perspektifinden Bir İnceleme, Maliye Dergisi,184, 225-253.
  • Khan, H. (2021). Types of AI | Different Types of Artificial Intelligence Systems fossguru.com/types-of-ai-different-types-of-artificial-intelligence-systems, https://www.researchgate.net/publication/355021812_Types_of_AI_Different_Types_of_Artificial_Intelligence_Systems_fossgurucomtypes-of-ai-different-types-of-artificial-intelligence-systems/citations.
  • Laurin, A. (2024). How Can Artificial Intelligence Contribute to the Federal Government’s Automatic Tax-Filing Goals?, Perspectives on Tax Law & Policy 5(2), https://www.ctf.ca/EN/EN/Newsletters/Perspectives/2024/2/240205.aspx
  • Lopez, C. & Delgado Rodríguez, M. J. & Santos, S.. (2019). Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers. Future Internet. 11. 86. 10.3390/fi11040086.
  • Misuraca, G. ve van Noordt, C. (2020). Overview of the Use and Impact of AI in Public Services in the EU, EUR 30255 EN, Luxembourg: Publications Office of the European Union, DOI: 10.2760/039619.
  • Nuryanı, N., Mutıara, A. B., Wıryana, I. M., Purnamasarı, D., Putra, S. N. W. (2024). Artificial Intelligence Model For Detecting Tax Evasion Involving Complex Network Schemes, Aptisi Transactions on Technopreneurship (ATT). 6(3), 339-356.
  • OECD (2006). Strengthening tax audit capabilities: General principles and approaches (Information Note). https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/tax-administration/strengthening-tax-audit-capabilities-general-principles-and-approaches.pdf
  • OECD (2020), Tax Administration 3.0: The Digital Transformation of Tax Administration, OECD Publishing, Paris, https://doi.org/10.1787/ca274cc5-en.
  • OECD (2021). Tax Administration 2021: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/cef472b9-en.
  • OECD (2022). Tax Administration 2022: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/1e797131-en.
  • OECD (2024). Tax Administration 2024: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/2d5fba9c-en.
  • OECD (2025). Tax Administration 2025: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/cc015ce8-en.
  • OECD. (2017). The changing tax compliance environment and the role of audit. OECD Publishing. https://doi.org/10.1787/9789264282186-en.
  • OECD. (2023). Tax Administration 2023: Comparative Information on OECD and other Advanced and Emerging Economies. OECD Publishing. https://www.oecd.org/en/publications/tax-administration-2023_900b6382-en.html.
  • Oğuztürk, B. S., ve Ünal, E. K. (2015). Türkiye’de vergi denetiminde yeni dönem. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD), 7(13), 207-237. https://doi.org/10.20990/aacd.80078.
  • Pehlivan, O. (1986). Vergi denetimi ve vergi denetiminde etkinlik». 62. 33-35. https://www.researchgate.net/publication/348560097_vergı_denetımı_ve_vergı_denetımınde_etkınlık.
  • Pingrui, L. ve Xu, Z. (2024). The Impact Of Digital Transformation On Corporate Supply Chain Management: Evidence From Listed Companies. Finance research letters. 60 https://doi.org/10.1016/j.frl.2023.104890.
  • PwC Türkiye (t.y.) Vergi Denetimi Nedir?, https://www.pwc.com.tr/vergi-denetimi-nedir?utm.
  • Rahman, S., Sırazy, M. R. M., Das, R., Khan, R. S. (2024). An Exploration Of Artificial Intelligence Techniques For Optimizing Tax Compliance, Fraud Detection, And Revenue Collection In Modern Tax Administrations, International Journal Of Business Intelligence And Big Data Analytics. 7(3), 56-80.
  • Rathı, A., Sharma, S., Lodha, G., Srıvastava, M. (2021). A Study On Application Of Artificial Intelligence And Machine Learning In Indian Taxation System. Psychology and Education Journal. 58(2), 1226-1233.
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Yapay Zeka Ekseninde Vergi Denetiminin Dönüşümü

Yıl 2026, Cilt: 8 , 57 - 81 , 22.03.2026
https://doi.org/10.47103/bilturk.1892613
https://izlik.org/JA34EE32WE

Öz

Günümüzde yapay zekâ teknolojileri vergi denetiminin etkinliğini artıran ve riskleri erken aşamada tespit etmeyi mümkün kılan stratejik bir araç olarak öne çıkmaktadır. Bu çalışmada vergi denetim süreçlerinin dijital dönüşüm bağlamında yapay zekâ teknolojileriyle nasıl yeniden şekillendi incelenmektedir. Çalışmada klasik vergi denetiminin kavramsal çerçevesi ortaya konulmuş; dijitalleşme süreci bağlamında yapay zekânın rolü ve temel özellikleri incelenmiştir. Ayrıca farklı ülke uygulamaları karşılaştırmalı olarak değerlendirilerek ortak yönler ve kurumsal farklılıklar analiz edilmiştir. Sonuç olarak yapay zekânın vergi denetiminde özellikle risk odaklı denetim anlayışını güçlendirdiği, denetim kaynaklarının daha etkin tahsisini sağladığı ve vergi kayıp ve kaçaklarının tespitinde önemli avantajlar sunduğu sonucuna ulaşılmıştır. Bununla birlikte yapay zekâ uygulamalarının başarısının veri kalitesi, kurumsal kapasite, dijital altyapı ve insan gözetimi gibi unsurlara bağlı olduğu tespit edilmiştir

Kaynakça

  • Akalın, G. (2014), Kalkınan Ekonomi: Türkiye’de Denetimin Etkinleştirilmesi. ss. 491–503, 29. Türkiye Maliye Sempozyumu, 16-20 Mayıs 2014 – Antalya.
  • Akkaya, H. (2025). Sahte Belge ile Mücadele Stratejisinde Dijitalleşme: Denetimde Yeni Yapay Zekâ Aracı KURGAN. 10.58830/ozgur.pub1095.c4368.
  • Akylbayeva G.K ve Baydauletov M.B. (2016). Tax audits: definition and methods. Journal of Economic Research & Business Administration, 114(2/2).
  • Anadolu Ajansı AA (2025) Maliye, yapay zeka desteğiyle iki yılda yapılan 578 milyar liralık alım satım işlemini riskli buldu,https://www.aa.com.tr/tr/ekonomi/maliye-yapay-zeka-destegiyle-iki-yilda-yapilan-578-milyar-liralik-alim-satim-islemini-riskli-buldu/3714857.
  • Anadolu Ajansı AA (2026). Naylon fatura, yapay zeka tabanlı KAŞİF ile anında yakalanıyor, https://www.aa.com.tr/tr/ekonomi/naylon-fatura-yapay-zeka-tabanli-kasif-ile-aninda-yakalaniyor/3804685#.
  • Andersen (2022). AI can help to find taxes in cash-first, evasive culture, https://it.andersen.com/en/ai-can-help-to-find-taxes-in-cash-first-evasiveculture/
  • Australian National Audit Office ANAO (2025), Governance of Artificial Intelligence at the Australian Taxation Office, https://www.anao.gov.au/sites/default/files/2025-02/Auditor-General_Report_2024-25_26.pdf.
  • Australian Taxation Office ATO (2025), ATO AI transparency statement, https://www.ato.gov.au/about-ato/commitments-and-reporting/information-and-privacy/ato-ai-transparency-statement.
  • Basic, N. (2025), Italy uses AI-Powered chatbot to detect VAT Fraud in real time, https://www.fiscal-requirements.com/news/4116.
  • Bassey, E., Mulligan, E. ve Ojo, A. (2022). A conceptual framework for digital tax administration - A systematic review. Government Information Quarterly. 39. 101754. 10.1016/j.giq.2022.101754.
  • Bird, R. M., & Zolt, E. M. (2008). Technology and Taxation in Developing Countries: From Hand to Mouse. SSRN Electronic Journal, 1-57, https://www.researchgate.net/publication/228231208_Technology_and_Taxation_in_Developing_Countries_From_Hand_to_Mouse.
  • BMC (2024). Johnson, J., Types of AI with Examples, https://www.bmc.com/blogs/artificial-intelligence-types/.
  • Bozkurt, P. (2016). Denetim kavramı ve denetim anlayışındaki gelişmeler. Denetişim ( 12 ), 56-62.
  • CIAT (2020). The use of Artificial Intelligence by tax administrations, a matter of principles, https://www.ciat.org/the-use-of-artificial-intelligence-by-tax-administrations-a-matter-of-principles/?lang=en.
  • Çember, E. (2026). Sahte Faturaya Dijital Fren; KAŞİF, https://cemberymm.com.tr/Sahte-Faturaya-Dijital-Fren-KASIF-748u.html
  • Dejlani, J., Shorvarzi, M. R., Masih Abadi, A., ve Mehrazin, A.(2024).Review of the Tax Audit Framework in the National Tax Administration. Business, Marketing, and Finance Open,1(6), 75-85.
  • European Commission (2018). Hıgh-Level Expert Group On Artıfıcıal Intellıgence, A Defınıtıon Of Aı: Maın Capabılıtıes And Scıentıfıc Dıscıplınes, Brussels. https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of_ai_18_december_1.pdf
  • Feng. D. (2017), Yapay Zeka + Vergilendirme", vergi sisteminde "son teknoloji" haline gelecek, https://www.shui5.cn/article/ef/113244.html.
  • Gez, H. (2011). Türkiye’de Kayıt Dışı Ekonominin Önlenmesinde Vergi Denetiminin Rolü ve Afyonkarahisar İlinde Faaliyet Gösteren Mükelleflere Yönelik Bir Uygulama, Yayınlanmamış Yüksek Lisans Tezi, T.C. Afyon Kocatepe Üniversitesi Sosyal Bilimler Enstitüsü Maliye Anabilim Dalı, Afyonkarahisar.
  • Günay, H.F. (2025). Çeşitli Faktörler Işığında Türkiye'de Vergi Denetim Etkinliğinin İncelenmesi. Uluslararası Bilimsel Araştırmalar Dergisi, 10(1), 101-117. https://doi.org/10.23834/isrjournal.1615066.
  • Hazine ve Maliye Bakanlığı (2023), 2022 Yılı Faaliyet Raporu https://ms.hmb.gov.tr/uploads/2024/04/Hazine-ve-Maliye-Bakanligi-2023-Yili-Faaliyet-Raporu.pdf.
  • Huang, Z. (2018). Discussion On The Development Of Artificial İntelligence İn Taxation, American Journal of Industrial and Business Management. 8(08), 1817-1824.
  • IBFD (2025). Artificial Intelligence Usage in EU Tax Administrations, https://www.ibfd.org/sites/default/files/2025-01/artificial-intelligence-usage-in-eu-tax-administrationsv7.pdf?utm.
  • İlgün, M. (2020).Vergi Denetim Sürecinde Büyük Veri Analitiği. Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi 8 (1),1-24. https://izlik.org/JA89MN79JH .
  • Jing-Yi, L. (2019). Research on the Reform of Tax Collection and Management System by Artificial Intelligence Under the Background of “Intelligence” Development Strategy. Advances in Economics, Business and Management, 109, 1029-1034.
  • Karataş Durmuş, N. ve Arıtı Erdem İ. (2023).Vergi İdaresi 3.0: Yapay Zekâ Perspektifinden Bir İnceleme, Maliye Dergisi,184, 225-253.
  • Khan, H. (2021). Types of AI | Different Types of Artificial Intelligence Systems fossguru.com/types-of-ai-different-types-of-artificial-intelligence-systems, https://www.researchgate.net/publication/355021812_Types_of_AI_Different_Types_of_Artificial_Intelligence_Systems_fossgurucomtypes-of-ai-different-types-of-artificial-intelligence-systems/citations.
  • Laurin, A. (2024). How Can Artificial Intelligence Contribute to the Federal Government’s Automatic Tax-Filing Goals?, Perspectives on Tax Law & Policy 5(2), https://www.ctf.ca/EN/EN/Newsletters/Perspectives/2024/2/240205.aspx
  • Lopez, C. & Delgado Rodríguez, M. J. & Santos, S.. (2019). Tax Fraud Detection through Neural Networks: An Application Using a Sample of Personal Income Taxpayers. Future Internet. 11. 86. 10.3390/fi11040086.
  • Misuraca, G. ve van Noordt, C. (2020). Overview of the Use and Impact of AI in Public Services in the EU, EUR 30255 EN, Luxembourg: Publications Office of the European Union, DOI: 10.2760/039619.
  • Nuryanı, N., Mutıara, A. B., Wıryana, I. M., Purnamasarı, D., Putra, S. N. W. (2024). Artificial Intelligence Model For Detecting Tax Evasion Involving Complex Network Schemes, Aptisi Transactions on Technopreneurship (ATT). 6(3), 339-356.
  • OECD (2006). Strengthening tax audit capabilities: General principles and approaches (Information Note). https://www.oecd.org/content/dam/oecd/en/topics/policy-issues/tax-administration/strengthening-tax-audit-capabilities-general-principles-and-approaches.pdf
  • OECD (2020), Tax Administration 3.0: The Digital Transformation of Tax Administration, OECD Publishing, Paris, https://doi.org/10.1787/ca274cc5-en.
  • OECD (2021). Tax Administration 2021: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/cef472b9-en.
  • OECD (2022). Tax Administration 2022: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/1e797131-en.
  • OECD (2024). Tax Administration 2024: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/2d5fba9c-en.
  • OECD (2025). Tax Administration 2025: Comparative Information on OECD and other Advanced and Emerging Economies, OECD Publishing, Paris, https://doi.org/10.1787/cc015ce8-en.
  • OECD. (2017). The changing tax compliance environment and the role of audit. OECD Publishing. https://doi.org/10.1787/9789264282186-en.
  • OECD. (2023). Tax Administration 2023: Comparative Information on OECD and other Advanced and Emerging Economies. OECD Publishing. https://www.oecd.org/en/publications/tax-administration-2023_900b6382-en.html.
  • Oğuztürk, B. S., ve Ünal, E. K. (2015). Türkiye’de vergi denetiminde yeni dönem. Akademik Araştırmalar ve Çalışmalar Dergisi (AKAD), 7(13), 207-237. https://doi.org/10.20990/aacd.80078.
  • Pehlivan, O. (1986). Vergi denetimi ve vergi denetiminde etkinlik». 62. 33-35. https://www.researchgate.net/publication/348560097_vergı_denetımı_ve_vergı_denetımınde_etkınlık.
  • Pingrui, L. ve Xu, Z. (2024). The Impact Of Digital Transformation On Corporate Supply Chain Management: Evidence From Listed Companies. Finance research letters. 60 https://doi.org/10.1016/j.frl.2023.104890.
  • PwC Türkiye (t.y.) Vergi Denetimi Nedir?, https://www.pwc.com.tr/vergi-denetimi-nedir?utm.
  • Rahman, S., Sırazy, M. R. M., Das, R., Khan, R. S. (2024). An Exploration Of Artificial Intelligence Techniques For Optimizing Tax Compliance, Fraud Detection, And Revenue Collection In Modern Tax Administrations, International Journal Of Business Intelligence And Big Data Analytics. 7(3), 56-80.
  • Rathı, A., Sharma, S., Lodha, G., Srıvastava, M. (2021). A Study On Application Of Artificial Intelligence And Machine Learning In Indian Taxation System. Psychology and Education Journal. 58(2), 1226-1233.
  • Reyhan, Y. (2025). Vergi Suçlarıyla Mücadelede Yeni Cephe: KURGAN Sistemi ve Yapay Zekâ Destekli Denetimin Hukuki Boyutları, https://www.muhasebetr.com/yazarlarimiz/yasinreyhan/011/#google_vignette.
  • Russel, S.ve N. P. (2003). Artificial Intelligence, A Modern Approach, Prentice Hall, 2nd Edition.
  • Samoili, S., Lopez Cobo, M., Delipetrev, B., Martinez-Plumed, F., Gomez Gutierrez, E. and De Prato, G., (2021). AI Watch. Defining Artificial Intelligence 2.0, EUR 30873 EN, Publications Office of the European Union, Luxembourg, 2021, ISBN 978-92-76-42648-6, doi:10.2760/019901, JRC126426.
  • Savıć, M., Atanasıjevıć, J., Jakovetıć, D. Ve Krejıć, N. (2022). Tax Evasion Risk Management Using A Hybrid Unsupervised Outlier Detection Method, Expert Systems with Applications. 193, 116409.
  • Shakil, M.H. ve Tasnia, M. (2022). “Artificial Intelligence and Tax Administration in Asia and the Pacific”, Hendriyetty N., Evans, C., Kim C. J. ve Taghizadeh-Hesary F. (edt), Taxation in the Digital Economy: New Models in Asia and the Pacific, London: Routledge, 45-55, DOI: 10.4324/9781003196020.
  • Shapiro S.C. (1992). Artificial Intelligence, https://cse.buffalo.edu/~shapiro/Papers/ai.pdf.
  • Tax Justice Network, (2024). State of Tax Justice 2024. Tax Justice Network https://taxjustice.net/wp-content/uploads/2024/11/State-of-Tax-Justice-2024-English-Tax-Justice-Network.pdf.
  • Turan, D. (2020). Yapay Zekâ ve Vergi Uygulamalarına Etkisi. Anadolu Akademi Sosyal Bilimler Dergisi, 2(1), 55-70.
  • Tutorials Point (2015). Artificial Intelligence İntelligent Systems, https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_tutorial.pdf.
  • Vanhoeyveld, J., Martens, D., ve Peeters, B. (2019). Value-added tax fraud detection with scalable anomaly detection techniques Applied soft computing - ISSN 1568-4946 https://repository.uantwerpen.be/docman/irua/6255c9/163682_2020_10_31.pdf
  • Varol, N. (2023). Dijital Dönüşüm ve Yapay Zekâ: Muhasebenin ve Denetimin Geleceği. Denetim Ve Güvence Hizmetleri Dergisi, 3(2), 162-184.
  • VATCalc (2024). Poland AI & e-invoicing fights VAT fraud, https://www.vatcalc.com/poland/poland-ai-and-e-invoicing-fights-vat-fraud/
  • Vergi Denetim Kurulu VDK (2025). 1 Ekim 2025 Sahte Belgeyle Mücadele Stratejisi - Kuruluş Gözetimli Analiz (KURGAN) Mükellef ve Meslek Mensupları Rehberi, https://ismmmo.org.tr/dosya/5703/Yayin-Dosya/21102025-sahte-belgeyle-mucadele-stratejisi-ve-kurulus-gozetimli-analiz-kurgan-rehberi.pdf?utm_source.
  • Warwick, K. (2011). Artificial Intelligence: The Basics, Routledge: New York.
  • Yegen B. (2023). Vergilemede Yeni Bir Yaklaşım: Yapay Zekâ, Politik Ekonomik Kuram, 7(2), 140-154. https://doi.org/10.30586/pek.132 9264.
  • 213 Sayılı Vergi Usul Kanunu. https://www.mevzuat.gov.tr/mevzuat?MevzuatNo=213&MevzuatTur=1&MevzuatTertip=4.
Toplam 61 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Maliye Politikası
Bölüm Araştırma Makalesi
Yazarlar

Nur Sena Oğuz 0000-0002-0292-5336

Seyfi Yıldız 0000-0002-2382-4454

Kübra Aydınlı 0000-0002-9952-604X

Gönderilme Tarihi 18 Şubat 2026
Kabul Tarihi 24 Şubat 2026
Yayımlanma Tarihi 22 Mart 2026
DOI https://doi.org/10.47103/bilturk.1892613
IZ https://izlik.org/JA34EE32WE
Yayımlandığı Sayı Yıl 2026 Cilt: 8

Kaynak Göster

APA Oğuz, N. S., Yıldız, S., & Aydınlı, K. (2026). Yapay Zeka Ekseninde Vergi Denetiminin Dönüşümü. BİLTÜRK Ekonomi ve İlişkili Çalışmalar Dergisi, 8, 57-81. https://doi.org/10.47103/bilturk.1892613

Amaç ve Kapsam

BİLTÜRK, The Journal of Economics and Related Studies is a peer-reviewed international journal that analyzes problems in all areas of the economy and related fields of economy. The Journal focuses on the publication of both theoretical and empirical publications in the field of economics and the related studies.

BİLTÜRK Journal of Economics and Related Studies includes but is not limited to the following subjects. the following subjects.

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cess of their manuscripts, author(s) may be asked to supply raw data. In such a case, author(s) should be ready to submit such data and information to the editorial board.
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Ücretsiz

Editors in Chief

Makro İktisat, Büyüme, Gelişme Ekonomisi
Kalkınma Ekonomisi - Makro, Maliye Politikası, Gelişme Ekonomisi, Kamu Ekonomisi, Savunma Çalışmaları, Kamu Maliyesi

Editors

Matematiksel İktisat, Makro İktisat, Mikro İktisat, Davranışsal İktisat, Kamu Ekonomisi, Savunma Çalışmaları
Hukuk ve İktisat, Bütçe ve Mali Planlama

Editorial Boards

Uygulamalı Mikro Ekonometri, Maliye Politikası, Çevre Ekonomisi, Sağlık Ekonomisi, Kamu Maliyesi
Makroekonomik Teori

Prof. Dr. NACİ TOLGA SARUÇ
Kişisel Bilgiler
E-posta: naci.saruc@istanbul.edu.tr
Web: https://avesis.istanbul.edu.tr/naci.saruc
Posta Adresi: İstanbul Üniversitesi Merkez Kampüsü 34452 Beyazıt/Fatih-İstanbul Tel: 0 (212) 440 00 00
Uluslararası Araştırmacı ID'leri
ScholarID: D7nVXw4AAAAJ
ORCID: 0000-0003-0716-3040
Publons / Web Of Science ResearcherID: AAA-7387-2020
Yoksis Araştırmacı ID: 118804
Eğitim Bilgileri
Doktora, University of Leicester, Social Sciences, Economics, Birleşik Krallık 1995 - 2001
Yüksek Lisans, University of Leicester, The Faculty Of Social Sciences, Economics, Birleşik Krallık 1994 - 1995
Lisans, Dokuz Eylül Üniversitesi, İktisadi Ve İdari Bilimler Fakültesi, Maliye Bölümü, Türkiye 1987 - 1992
Yabancı Diller
İngilizce, C1 İleri
Yaptığı Tezler
Doktora, The determinants of tax evasion: Experiments with Turkish subjects , University Of Leicester, Social Sciences, Economics, 2001
Yüksek Lisans, Privatisation of Water Industry in England and Wales, University of Leicester, Social Science Faculty, Economics, 1995 

Maliye Politikası, Kamu Ekonomisi - Kamu Seçimi, Maliye Sosyolojisi, Bütçe ve Mali Planlama, Devlet Muhasebesi, Kamu Maliyesi, Mali Hukuk, Maliye Kuramı, Maliye Çalışmaları (Diğer)
İnsan Kaynakları Yönetimi, Kurumsal Sosyal Sorumluluk, Girişimcilik, Organizasyon ve Yönetim Teorisi
Türkiye Dışındaki Türk Halk Bilimi, Türkiye Sahası Türk Halk Bilimi, Türk Halk Bilimi (Diğer)
Bölgesel Ekonomi
İslam Ekonomisi
İstihdam, Kalkınma Ekonomisi - Makro, Kayıt Dışı Ekonomi, Sosyal Adalet, Sosyal Refah Politikaları

Junus Ganiev, yüksek lisans ve doktora derecelerini Kırgızistan-Türkiye Manas Üniversitesi İktisat Bölümü'nden almıştır. Yüksek lisans tezini enflasyon dinamikleri, doktora tezini ise yolsuzluk üzerine yapmıştır. Para politikası, uluslararası ekonomik ilişkiler, ekonomik büyüme ve kalkınma konularında araştırmalar yapmaktadır. Birçok ülkede uluslararası konferanslara katılmıştır. Makaleleri, kitap bölümleri, kitapları, konferans bildirileri bulunmaktadır. Kırgızistan-Türkiye Manas Üniversitesi İktisadi ve İdari Bilimler Fakültesi İktisat Bölümü'nde tam zamanlı Doçent olarak görev yapmaktadır. ORCID: 0000-0001-8859-5464 (Djal, Campus of Chyngyz Aitmatov, Bishkek, 720038, Kyrgyzstan, +996772 331193, junus.ganiev@manas.edu.kg)

Büyüme, Enflasyon, Dış Ticaret
Bütçe ve Mali Planlama
Makroekonomik Teori, Mikroekonomik Teori, Büyüme, Enflasyon, Konjonktür Dalgalanmaları, Maliye Politikası, Göç Ekonomisi, Savunma Çalışmaları
Kamu Maliyesi, Mali Hukuk

Prof.Dr.Ahmet AK

Ankara Hacı Bayram Veli Üniversitesi İİBF Maliye Bölümü Öğretim üyesi Ankara Maliye Okulu ve Çukurova Üniversitesi İİBF / İşletme Bölümünden mezun oldu. Anadolu Ü. SBE / Mali Hukuk Yüksek Lisans ve Mali Hukuk Doktora programlarını tamamladı.
Yüksek Lisans tez konusu; “GVK Açısından Vergi İdaresi ile Vergi Yargısı Arasındaki Yorum Farklılıkları ve Vergi Yargısı Kararlarının Vergi İdaresi Üzerindeki Etkileri”, Doktora tez konusu ise; “Vergi Yasalarının Hazırlanması, Yasama Süreci ve Türkiye Uygulaması” dır.

Meslek hayatına vergi memuru olarak başlayan AK, 14 yıl Vergi Müfettişi ve 4 yıl da Gelir İdaresi Grup Müdürü olarak görev yaptı. Akademik hayatına 2009 yılında Yard. Doç. olarak başlayan AK, 2010 yılında Doçent, 2012-2013 ABD Kansas Üniversitesinde Doç. misafir öğretim üyesi, 2015 yılında Prof. Dr. Bilecik Şeyh Edebali Üniversitesi, 2017 yılında Prof. Dr. Gazi Üniversitesi ve 2018 yılında ve halen Ankara Hacı Bayram Veli Üniversitesinde Prof. Dr. Olarak görev yapmaktadır. Kurucu Maliye Bölüm Başkanlığı, Mali Hukuk Ana Bilim Dalı Başkanlığı, Üniversite ve Fakülte Kurulları üyeliği gibi görevlerde de bulundu. Akademik düzeyde Fransızca ve İngilizce bilmektedir.

Birçok ulusal ve uluslararası projede yürütücü, danışman ve eğitim görevlisi olarak yer aldı. Akademik alanda çok sayıda makale, kitap ve bilimsel çalışmaları yayınlanmıştır. Vergi Yargılama Hukuku (Vergi Davaları) Vergi Uyuşmazlıkları ve İdari Çözüm Yolları, Vergi Hukukunda İştirakler, Vergi Hukuku, Vergi Ceza Hukukunda Suç ve Kabahatler başlıklı kitapları ile alanında bir çok ulusal ve uluslararası kitaplarda bölüm yazarlığı bulunmaktadır. Gazi, Ankara Hacı Bayram Veli, Bilecik Şeyh Edebali ve Dumlupınar Üniversitesinde Lisans ve Lisans üstü düzeyde dersler vermiştir. Tevhidi Düşünce Açısından Vergi Felsefesi konusunda da çalışmalar yapmaktadır.

Vergi Yasalarının Hazırlanması, Mükellef Hakları, Türk vergi Sistemi, Vergi Yargılama Hukuku ve İçtihat Analizi, Vergi Sosyolojisi, Vergi Hukuku, Vergi Ceza Hukuku, Vergi İcra Hukuku ve Uluslararası Vergilendirme konuları genel uzmanlık alanlarıdır.

Merkezi Kaliforniya’da bulunan ΦΒΔ Honor Society For International Scholars tarafından “Uluslararası Bilim Adamı Onur Madalyası” ve Topluluk üyeliğine (2013) layık görüldü.

2013/Haziran ve 2014/Haziran dönemlerinde Polonya Czestochowa University of Technology’de misafir Öğretim Üyesi olarak görev yaptı. (Halen Bilim Kurulu Üyesi / https://pea-journal.eu/scientific-committee.html )

2015 Hindistan’da (Devi Ahilya Üniversititesi) düzenlenen “Invitation for International Conference of Patel Group of Institutions (ITESM – 2015)” başlıklı uluslararası konferansa Türkiye’yi temsilen katıldı “Evaluation of the Effects of Globalization on the Taxes for Income from International Financial Investment in Turkey in Terms of the OECD Model (Taxation on Dividends)” konulu çalışmasıyla 123 çalışma arasında Uluslararası En İyi Araştırma “International the Best Paper” ödülüne layık görüldü.

“The Possible Effects of Personal Income Tax and Value Added Tax on Consumer Behaviors” başlıklı makalesi Harvard Üniversity ve Cornell University tarafından yayınlanmıştır. https://ui.adsabs.harvard.edu/abs/2019arXiv191003141A/abstract ;

https://arxiv.org/abs/1910.03141?fbclid=IwAR0ICFVYA6h3r2iaZsaxZdjkqFFkz0HoDwbDil5VvN6ITDE0VnSm44B1fbo

Segull Publications: Director in Board of Development ve International Journal of Tax Economics and Management IJTEM, Yönetim Kurulu Başkanı ve Baş Editörü

Tevhidi Düşünce Derneği Yönetim Kurulu Başkan Yardımcısı ve İLMAR (İlmi ve Metodolojik Araştırmalar Derneği) Yönetim Kurulu üyesi.

İslam Ekonomisi, Hukuk ve İktisat, Hukuk Sosyolojisi, İktisat Sosyolojisi, Uluslararası İlişkilerde Uyuşmazlık Çözümü, Maliye Çalışmaları, Kamu Maliyesi, Mali Hukuk, Maliye Kuramı
Bütçe ve Mali Planlama
Uygulamalı Makro Ekonometri, Uluslararası İktisat (Diğer), Sağlık Ekonomisi, Turizm Ekonomisi, Uygulamalı Ekonomi (Diğer)
Ekonometrik ve İstatistiksel Yöntemler, Matematiksel İktisat, Finansal Matematik
Ekonomi Politik Teorisi, Para-Bankacılık, İslam Finansı
Konjonktür Dalgalanmaları, Maliye Politikası, Para Politikası, Para-Bankacılık
Ekonometri Teorisi

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