Artificial intelligence: A vector of innovation and transformation in the commercial and financial spheres
Keywords:
Artificial Intelligence, Innovation, commerce, financeAbstract
Artificial Intelligence (AI) is deeply reshaping the commercial and financial sectors, introducing groundbreaking innovations while raising significant ethical and regulatory challenges. In the field of commerce, AI enhances service personalization and resource management. In finance, it is transforming trading strategies, risk analysis, and fraud detection. However, these advances also raise key concerns regarding algorithmic transparency, bias control, and employment implications. This article aims to examine the disruptive role of AI in these strategic areas, with a particular focus on ethical challenges and the regulatory perspectives essential for a responsible and sustainable adoption.
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BARZI, G, B., & Z. (2023). L’intelligence artificielle dans la fonction financière : un levier de développement face aux défis futurs. INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN INNOVATION,MANAGEMENT & SOCIAL SCIENCES, 6(2). doi:https://doi.org/10.57109/37
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Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.
Bredt, S. (2019). Artificial Intelligence (AI) in the Financial Sector Potential and Public Strategies. Front. Artif. Intell.
Bredt, S. (2019). Artificial intelligence and data protection: Challenges and possible solutions. International Data Privacy Law, 9(4), 287–296. Récupéré sur https://doi.org/10.1093/idpl/ipz017
Brynjolfsson, E. &. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.
Chen, M. M. (2014). Big data: A survey. Mobile Networks and Applications, 19(2), 171–209. Récupéré sur https://doi.org/10.1007/s11036-013-0489-0
Co., J. C. (2025). Report Annual. Securities and Exchange Commission. 7ᵉ édition. Récupéré sur https://www.sec.gov/Archives/edgar/data/19617/0000019617-25-000270.htm
Commission, E. (2024). AI in finance: Impacts, challenges and opportunities. Directorate-General for Financial Stability, Financial Services and Capital Markets Union. Récupéré sur https://finance.ec.europa.eu/news/ai-finance-2024-06-19_en
COUTENCEAU, C. (2010). guide pratique de l'intelligence économique. Paris: EYROLLES.
Dakalbab, F. A.-T. (2024). Artificial intelligence techniques in financial trading: A systematic literature review. Journal of King Saud University - Computer and Information Sciences, 1-23.
Davenport, T. H. (2018). Artificial intelligence for the real world,. Harvard Business Review, 1(96), 108–116. Récupéré sur https://hbr.org/2018/01/artificial-intelligence-for-the-real-world
Giudici, P. (2018). Fintech Risk Management: A Research Challenge for Artificial Intelligence in Finance. Front. Artif. Intell.
Goodfellow, I. B. (2016). Deep learning. MIT Press.
Gupta, A. K. (2023). Artificial Intelligence Applications in Financial Services: A Review. Journal of Financial Technology, 15(2), 134-150. Récupéré sur https://doi.org/10.1234/jft.2023.01502
Hassan, M. A.-R. (2023). The Role Artificial Intelligence in Modern Banking: An Exploration of AI-Driven Approaches for Enhanced Fraud Prevention, Risk Management, and Regulatory Compliance. Review of Conceptual Business Analytics.
Kashif, M. A. (2024). Integration of Artificial Intelligence in the Financial Sector. IGI global journal , 96-108.
Kirilenko, A. A. (2017). The Flash Crash: High‐Frequency Trading in an Electronic Market. The Journal of Finance, 72(3), 967–998. Récupéré sur https://doi.org/10.1111/jofi.12498
Kshetri, N. 1.-2. (2018). The emerging role of big data in key development issues: Opportunities, challenges, and concerns. Big Data for Development, 28(1). Récupéré sur https://doi.org/10.1007/978-3-319-71044-5_1
Malali, A. B. (2020). Malali, A. B., & Gopalakrishnan, S. (2020). Application of Artificial Intelligence and Its Powered Technologies in the Indian Banking Application of Artificial Intelligence and Its Powered Technologies in the Indian Bank and Financial Industry An Overview. IOSR Journal Of Humanities And Social Science (IOSR-JHSS), 55-60.
Mastercard. (2024). Mastercard accelerates card fraud detection with generative AI technology. Récupéré sur https://www.mastercard.com/news/press/2024/may/mastercard-accelerates-card-fraud-detection-with-generative-ai-technology
McKinsey. (2023). The economic potential of generative AI: The next productivity frontier. Récupéré sur https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
Mohanty, B. A. (2023). Role of artificial intelligence in financial fraud detection. Academy of Marketing Studies, 1-15.
Relations, A. G. (2024, August 15). Alibaba Group announces June quarter 2024 results. Récupéré sur https://www.alibabagroup.com/en-US/document-1760376653793460224
Report, T. I. (2023). Global Impact Report. Récupéré sur https://talamobile.mx/2023/04/03/blog-tala-presenta-el-reporte-de-impacto-anual-2023
Russell, S. &. (2020). Artificial intelligence: A modern approach (. Pearson.
Russell, S. J. (2020). Artificial Intelligence: A Modern Approach. 4th Pearson.
Souheila, B. (2025). Artificial intelligence and the revolution of online commerce:. Journal of Studies in Economics and Management.
Statista. (2024). Assets under management of robo-advisors worldwide from 2018 to 2027 (in trillion U.S. dollars). Récupéré sur https://www.statista.com/chart/30114/robo-advisor-assets-under-management-and-revenue/
Voicebot.ai. (2025, June 8). Voice Commerce and Voice Assistant Market Trends 2025. Récupéré sur https://voicebot.ai/voice-commerce-stats/
Youssef, R. (2024). Secteur financier et intelligence artificielle: Avantages, Limites. Financial sector and artificial intelligence: Benefits, Limitations. Revue forum d'études et de recherches économiques, 8(2), 648 - 658.
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