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AI integration in financial services: a systematic review of trends and regulatory challenges

Author

Listed:
  • Darko B. Vuković

    (Saint Petersburg State University
    Geographical Institute “Jovan Cvijic” SASA)

  • Senanu Dekpo-Adza

    (HSE University)

  • Stefana Matović

    (Geographical Institute “Jovan Cvijic” SASA)

Abstract

The integration of Artificial Intelligence (AI) into financial services represents a developmental shift in the industry, presenting unprecedented opportunities and challenges. This scientometric review examines the evolution of AI in finance from 1989 to 2024, analyzing its pivotal applications in credit scoring, fraud detection, digital insurance, robo-advisory services, and financial inclusion. The analysis reveals significant trends, particularly the growing adoption of machine learning, natural language processing, and blockchain technologies in reshaping financial operations and decision-making processes. The review addresses critical regulatory and ethical challenges, emphasizing the imperative for explainable AI (XAI) and robust governance frameworks to ensure transparency, fairness, and accountability in AI-driven systems. Despite rapid advancements, persistent gaps remain, the most notable of which is the lack of standardized frameworks for AI implementation across financial sectors. The findings support the need for a balanced approach that promotes innovation while addressing ethical, regulatory, and societal concerns. This comprehensive synthesis maps the trajectory of AI in finance, identifies key areas for future research, and recommends interdisciplinary collaboration to advance responsible and sustainable AI integration within the financial ecosystem.

Suggested Citation

  • Darko B. Vuković & Senanu Dekpo-Adza & Stefana Matović, 2025. "AI integration in financial services: a systematic review of trends and regulatory challenges," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-29, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04850-8
    DOI: 10.1057/s41599-025-04850-8
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    1. Liudmila Zavolokina & Mateusz Dolata & Gerhard Schwabe, 2016. "The FinTech phenomenon: antecedents of financial innovation perceived by the popular press," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-16, December.
    2. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    3. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    4. Beynon, Malcolm J. & Peel, Michael J., 2001. "Variable precision rough set theory and data discretisation: an application to corporate failure prediction," Omega, Elsevier, vol. 29(6), pages 561-576, December.
    5. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    6. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
    7. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," Working Papers 18-08, New York University, Leonard N. Stern School of Business, Department of Economics.
    8. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    9. Swayambhu Chatterjee & Shuyuan Deng & Jun Liu & Ronghua Shan & Wu Jiao, 2018. "Classifying facts and opinions in Twitter messages: a deep learning-based approach," Journal of Business Analytics, Taylor & Francis Journals, vol. 1(1), pages 29-39, January.
    10. Robert Dobre & Daniel Bulin & Maria-Cristina Iorgulescu & Iulia Monica Oehler-Sincai & Olimpia State, 2020. "Artificial Intelligence Sector: The Next Technology Bubble? A Comparative Analysis with Dotcom Based on Stock Market Data," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(76), pages 24-37, June.
    11. Cyn-Young Park & Rogelio Mercado, 2018. "Financial Inclusion, Poverty, And Income Inequality," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(01), pages 185-206, March.
    12. Juliane Begenau & Laura Veldkamp & Maryam Farboodi, 2018. "Big Data in Finance and the Growth of Large Firms," 2018 Meeting Papers 155, Society for Economic Dynamics.
    13. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    14. Dirk A Zetzsche & Filippo Annunziata & Douglas W Arner & Ross P Buckley, 2021. "The Markets in Crypto-Assets regulation (MiCA) and the EU digital finance strategy," Capital Markets Law Journal, Oxford University Press, vol. 16(2), pages 203-225.
    15. Jon Truby, 2020. "Governing Artificial Intelligence to benefit the UN Sustainable Development Goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 946-959, July.
    16. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
    17. Begenau, Juliane & Farboodi, Maryam & Veldkamp, Laura, 2018. "Big data in finance and the growth of large firms," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 71-87.
    18. Ahmad Chokor & Élise Alfieri, 2021. "Long and short-term impacts of regulation in the cryptocurrency market," Post-Print hal-03275473, HAL.
    19. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    20. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    21. Kun Lu & Dietmar Wolfram, 2012. "Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(10), pages 1973-1986, October.
    22. Kevin W. Boyack & Richard Klavans, 2010. "Co‐citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    23. Weidong Chen & Xiaohui Yuan, 2021. "Financial inclusion in China: an overview," Frontiers of Business Research in China, Springer, vol. 15(1), pages 1-21, December.
    24. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
    25. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    26. Aziz, Abdul & Naima, Umma, 2021. "Rethinking Digital Financial Inclusion: Evidence from Bangladesh," SocArXiv 7sr5c, Center for Open Science.
    27. Julapa Jagtiani & Catharine Lemieux, 2019. "The roles of alternative data and machine learning in fintech lending: Evidence from the LendingClub consumer platform," Financial Management, Financial Management Association International, vol. 48(4), pages 1009-1029, December.
    28. Zhu, You & Zhou, Li & Xie, Chi & Wang, Gang-Jin & Nguyen, Truong V., 2019. "Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach," International Journal of Production Economics, Elsevier, vol. 211(C), pages 22-33.
    29. Raymond Kosala, 2017. "Predicting the likelihood of dividend payment from Indonesian public companies with data mining methods," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 26(2), pages 139-150.
    30. Lee, In & Shin, Yong Jae, 2018. "Fintech: Ecosystem, business models, investment decisions, and challenges," Business Horizons, Elsevier, vol. 61(1), pages 35-46.
    31. repec:imf:imfdps:2021/024 is not listed on IDEAS
    32. Yuan, Shengjun & Musibau, Hammed Oluwaseyi & Genç, Sema Yılmaz & Shaheen, Riffat & Ameen, Anam & Tan, Zhixiong, 2021. "Digitalization of economy is the key factor behind fourth industrial revolution: How G7 countries are overcoming with the financing issues?," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    33. Zhang, Gioqinang & Hu, Michael Y., 1998. "Neural network forecasting of the British Pound/US Dollar exchange rate," Omega, Elsevier, vol. 26(4), pages 495-506, August.
    34. repec:imf:imfdep:2021/024 is not listed on IDEAS
    35. repec:osf:socarx:7sr5c_v1 is not listed on IDEAS
    36. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    37. Juliane Begenau & Maryam Farboodi & Laura Veldkamp, 2018. "Big Data in Finance and the Growth of Large Firms," NBER Working Papers 24550, National Bureau of Economic Research, Inc.
    38. Maiti, Moinak & Vukovic, Darko B. & Frömmel, Michael, 2023. "Quantifying the asymmetric information flow between Bitcoin prices and electricity consumption," Finance Research Letters, Elsevier, vol. 57(C).
    39. Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019. "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, vol. 81(C), pages 709-727.
    40. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
    41. Kevin W. Boyack & Richard Klavans, 2010. "Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(12), pages 2389-2404, December.
    42. Jeong, Yoo Kyung & Song, Min & Ding, Ying, 2014. "Content-based author co-citation analysis," Journal of Informetrics, Elsevier, vol. 8(1), pages 197-211.
    43. LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999. "Time series properties of an artificial stock market," Journal of Economic Dynamics and Control, Elsevier, vol. 23(9-10), pages 1487-1516, September.
    44. Martina K Linnenluecke & Mauricio Marrone & Abhay K Singh, 2020. "Conducting systematic literature reviews and bibliometric analyses," Australian Journal of Management, Australian School of Business, vol. 45(2), pages 175-194, May.
    45. Nir Kshetri, 2021. "The Role of Artificial Intelligence in Promoting Financial Inclusion in Developing Countries," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 24(1), pages 1-6, January.
    46. Chokor, Ahmad & Alfieri, Elise, 2021. "Long and short-term impacts of regulation in the cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 157-173.
    47. Pekka Malo & Ankur Sinha & Pekka Korhonen & Jyrki Wallenius & Pyry Takala, 2014. "Good debt or bad debt: Detecting semantic orientations in economic texts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 782-796, April.
    48. Aziz, Abdul & Naima, Umma, 2021. "Rethinking digital financial inclusion: Evidence from Bangladesh," Technology in Society, Elsevier, vol. 64(C).
    49. J, Uthayakumar & Metawa, Noura & Shankar, K. & Lakshmanaprabu, S.K., 2020. "Financial crisis prediction model using ant colony optimization," International Journal of Information Management, Elsevier, vol. 50(C), pages 538-556.
    50. Leone, Vitor & de Medeiros, Otavio Ribeiro, 2015. "Signalling the Dotcom bubble: A multiple changes in persistence approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 77-86.
    51. Shirazi, Farid & Mohammadi, Mahbobeh, 2019. "A big data analytics model for customer churn prediction in the retiree segment," International Journal of Information Management, Elsevier, vol. 48(C), pages 238-253.
    52. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    53. Ludivia Hernandez Aros & Luisa Ximena Bustamante Molano & Fernando Gutierrez-Portela & John Johver Moreno Hernandez & Mario Samuel Rodríguez Barrero, 2024. "Financial fraud detection through the application of machine learning techniques: a literature review," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-22, December.
    54. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    55. Mr. Michael Gorbanyov & Majid Malaika & Tahsin Saadi Sedik, 2021. "Quantum Computing and the Financial System: Spooky Action at a Distance?," IMF Working Papers 2021/071, International Monetary Fund.
    56. Fadi Shehab Shiyyab & Abdallah Bader Alzoubi & Qais Mohammad Obidat & Hashem Alshurafat, 2023. "The Impact of Artificial Intelligence Disclosure on Financial Performance," IJFS, MDPI, vol. 11(3), pages 1-25, September.
    57. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    58. Yang, Tong & Zhang, Xun, 2022. "FinTech adoption and financial inclusion: Evidence from household consumption in China," Journal of Banking & Finance, Elsevier, vol. 145(C).
    59. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    60. Clayton M. Christensen & Rory McDonald & Elizabeth J. Altman & Jonathan E. Palmer, 2018. "Disruptive Innovation: An Intellectual History and Directions for Future Research," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1043-1078, November.
    61. Kun Lu & Dietmar Wolfram, 2012. "Measuring author research relatedness: A comparison of word‐based, topic‐based, and author cocitation approaches," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(10), pages 1973-1986, October.
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