The impact of artificial intelligence on the identification and mitigation of financial risks in organizations
The impact of artificial intelligence on the identification and mitigation of financial risks in organizations
DOI:
https://doi.org/10.51473/rcmos.v1i2.2025.1708Keywords:
artificial intelligence. Financial risks. Corporate governance. Digital transformation.Abstract
Digital transformation has profoundly reshaped financiais systems and organizational risk control mechanisms. This qualitative, exploratory, and descriptive study examines how artificial intelligence has been applied to corporate financial risk management, focusing on risk identification, mitigation, and governance. The research is based on a bibliographic review of academic publications from 2020 to 2025, including articles, books, and technical reports. The analysis shows that the adoption of machine learning and predictive algorithms has increased efficiency in fraud detection, default prediction, and credit evaluation. Organizations, however, face ethical and structural challenges related to algorithmic transparency and the integration between human and automated systems. The study also indicates that the strategic use of artificial intelligence strengthens financial governance, optimizes decision-making, and reduces exposure to risk events. It is concluded that AI is a key tool for improving contemporary financial management, although its implementation requires control policies, professional training, and continuous technological updates.
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ALMUTAIRI, M.; NOBANEE, H. Artificial Intelligence in Financial Industry. 2020. Disponível em: https://ssrn.com/abstract=3578238 DOI: https://doi.org/10.2139/ssrn.3578238
. Acesso em: 10 abr. 2025.
BAHOO, S.; CUCCULELLI, M.; GOGA, X.; MONDOLO, J. Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis. SN Business and Economics, v. 4, n. 23, 2024. Disponível em: https://doi.org/10.1007/s43546-023-00618-x DOI: https://doi.org/10.1007/s43546-023-00618-x
. Acesso em: 16 fev. 2025.
BRANDÃO, C. E.; BECKER, J. L. Como gerenciar os riscos de inteligência artificial. GV-Executivo, v. 21, n. 4, 2022. Disponível em: https://eaesp.fgv.br/sites/eaesp.fgv.br/files/u949/joaoluizbecker_como_gerenciar_os_riscos_de_inteligencia_artificial.pdf DOI: https://doi.org/10.12660/gvexec.v21n4.2022.88403
. Acesso em: 10 abr. 2025.
DAIYA, H. AI-Driven Risk Management Strategies in Financial Technology. Journal of Artificial Intelligence General Science (JAIGS), v. 5, n. 1, p. 194–216, 2024. Disponível em: https://doi.org/10.60087/jaigs.v5i1.194 DOI: https://doi.org/10.60087/jaigs.v5i1.194
. Acesso em: 13 abr. 2025.
DATA EXPERTS. Mitigando riscos financeiros com IA: o papel da análise preditiva para CFOs. DataEX, 2024. Disponível em: https://www.dataex.com.br/mitigando-riscos-financeiros-com-ia-o-papel-da-analise-preditiva-para-cfos/
. Acesso em: 10 abr. 2025.
EL HAJJ, M.; HAMMOUD, J. Unveiling the Influence of Artificial Intelligence and Machine Learning on Financial Markets: A Comprehensive Analysis of AI Applications in Trading, Risk Management, and Financial Operations. Journal of Risk and Financial Management, v. 16, n. 10, p. 434, 2023. Disponível em: https://doi.org/10.3390/jrfm16100434 DOI: https://doi.org/10.3390/jrfm16100434
. Acesso em: 10 abr. 2025.
FONSECA, M. P. et al. Inteligência Artificial na tomada de decisão: ameaça ou oportunidade para gestores? Revista Contribuciones a las Ciencias Sociales, São José dos Pinhais, v. 17, n. 9, p. 01–24, 2024. Disponível em: https://ojs.revistacontribuciones.com/ojs/index.php/clcs/article/view/10345/6240 DOI: https://doi.org/10.55905/revconv.17n.9-080
. Acesso em: 9 fev. 2025.
GAFFARIAN, S.; TAGHIKHAH, F. R.; MAIER, H. Explainable artificial intelligence in disaster risk management: achievements and prospective futures. International Journal of Disaster Risk Reduction, v. 98, p. 104–123, 2023. Disponível em: https://doi.org/10.1016/j.ijdrr.2023.104123 DOI: https://doi.org/10.1016/j.ijdrr.2023.104123
. Acesso em: 16 fev. 2025.
GIUDICI, P.; RAFFINETTI, E. Explainable AI methods in cyber risk management. Quality and Reliability Engineering International, v. 38, p. 1318–1326, 2021. Disponível em: https://doi.org/10.1002/qre.2939 DOI: https://doi.org/10.1002/qre.2939
. Acesso em: 13 abr. 2025.
JAMES, G.; WITTEN, D.; HASTIE, T.; TIBSHIRANI, R.; TAYLOR, J. An Introduction to Statistical Learning: With Applications in Python. Springer Nature, 2023. DOI: https://doi.org/10.1007/978-3-031-38747-0
KAPLAN, A.; HAENLEIN, M. Rulers of the world, unite! The challenges and opportunities of artificial intelligence. Business Horizons, v. 63, n. 1, p. 37–50, 2020. Disponível em: https://doi.org/10.1016/j.bushor.2019.09.003 DOI: https://doi.org/10.1016/j.bushor.2019.09.003
. Acesso em: 10 out. 2025.
KIRON, D. Strategic management with AI. Oxford Research Encyclopedia of Business and Management, 19 ago. 2025. Disponível em: https://oxfordre.com/business/view/10.1093/acrefore/9780190224851.001.0001/acrefore-9780190224851-e-463 DOI: https://doi.org/10.1093/acrefore/9780190224851.013.463
. Acesso em: 10 out. 2025.
LIU, Y.; KALAITZI, D.; WANG, M.; PAPANAGNOU, C. A machine learning approach to inventory stockout prediction. Journal of Digital Economy, v. 4, p. 144–155, 2025. Disponível em: https://doi.org/10.1016/j.jdec.2025.06.002 DOI: https://doi.org/10.1016/j.jdec.2025.06.002
. Acesso em: 9 out. 2025.
LOPEZ-LIRA, A.; TANG, Y. Can ChatGPT forecast stock price movements? Return predictability and large language models. [S. l.], 10 abr. 2023. Disponível em: https://ssrn.com/abstract=4412788 DOI: https://doi.org/10.2139/ssrn.4412788
. Acesso em: 9 out. 2025.
MAPLE, C. et al. The AI Revolution: Opportunities and Challenges for the Finance Sector. The Alan Turing Institute, 2023. Disponível em: https://arxiv.org/abs/2308.16538
. Acesso em: 10 abr. 2025.
MARR, B. Generative AI in Practice: 100+ Amazing Ways Generative Artificial Intelligence is Changing Business and Society. 1. ed. Wiley, 2024.
ODEYEMI, O.; MHLONGO, N. Z.; NWANKWO, E. E.; SOYOMBO, O. T. Reviewing the role of AI in fraud detection and prevention in financial services. International Journal of Science and Research Archive, v. 11, n. 1, p. 2101–2110, 2024. Disponível em: https://doi.org/10.30574/ijsra.2024.11.1.0279 DOI: https://doi.org/10.30574/ijsra.2024.11.1.0279
. Acesso em: 13 abr. 2025.
RUSSELL, S.; NORVIG, P. Artificial Intelligence: A Modern Approach. 4. ed. Pearson, 2021.
SHARMA, N.; SHARMA, R.; JINDAL, N. Machine Learning and Deep Learning Applications — A Vision. Global Transitions Proceedings, v. 2, n. 1, p. 24–28, jun. 2021. Disponível em: https://doi.org/10.1016/j.gltp.2021.01.004 DOI: https://doi.org/10.1016/j.gltp.2021.01.004
. Acesso em: 3 out. 2025.
SHEEDY, E. Risk Governance (Routledge Contemporary Corporate Governance). Routledge, 2021.
SILVA, M. M.; RIBASKI, N. G. A revolução da inteligência artificial nas finanças e controladoria: um novo paradigma de inovação. Journal of Media Critiques, v. 8, n. 22, p. 19–27, 2022. Disponível em: https://journalmediacritiques.com/index.php/jmc/article/view/85 DOI: https://doi.org/10.17349/jmcv8n22-002
. Acesso em: 9 fev. 2025.
STROPARO, T. R. et al. Inteligência artificial na gestão de custos: avanços, desafios e oportunidades. Revista Ibero-Americana de Humanidades, Ciências e Educação – REASE, v. 10, n. 6, p. 1446–1456, 2024. Disponível em: https://periodicorease.pro.br/rease/article/view/14442 DOI: https://doi.org/10.51891/rease.v10i6.14442
. Acesso em: 9 fev. 2025.
TIMOTIO, J. G. M. et al. Inteligência Artificial no campo de finanças. Revista de Gestão e Secretariado, v. 15, n. 6, p. e3935, 2024. Disponível em: https://ojs.revistagesec.org.br/secretariado/article/view/3935 DOI: https://doi.org/10.7769/gesec.v15i6.3935
. Acesso em: 13 abr. 2025.
WEBER, P.; CARL, V.; HINZ, O. Applications of Explainable Artificial Intelligence in Finance — a systematic review of Finance, Information Systems, and Computer Science literature. Management Review Quarterly, v. 74, n. 4, p. 867–907, 2024. Disponível em: https://doi.org/10.1007/s11301-023-00320-0 DOI: https://doi.org/10.1007/s11301-023-00320-0
. Acesso em: 13 fev. 2025.
YAZDI, M.; ESMAEIL, Z.; SIDUM, A.; AMIN, B. Navigating the Power of Artificial Intelligence in Risk Management: A Comparative Analysis. Safety, v. 10, n. 2, p. 42, abr. 2024. Disponível em: https://doi.org/10.3390/safety10020042 DOI: https://doi.org/10.3390/safety10020042
. Acesso em: 16 fev. 2025.
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Copyright (c) 2025 Diego Andrade Duarte, Lawany Cristhiny Santos, Naiany Vitória de Oliveira Araújo, Onelice Socorro dos Santos Silva Santana, Walter Júnior Jovêncio de Faria (Autor)
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