Artificial intelligence (AI) has emerged as a transformative force in financial marketing, enabling banks to improve customer experience, personalize services, and optimize financial decision-making processes. This study explores the application of AI in bank marketing strategies, highlighting its role in customer segmentation, dynamic pricing, predictive analytics, and customer service automation. Despite these advances, the ethical challenges associated with AI implementation remain a key concern, particularly with regard to data privacy, algorithmic biases, and transparency. The paper examines both the opportunities and risks of AI-driven marketing, emphasizing the importance of regulatory frameworks that ensure fairness and accountability. By addressing these issues, AI has the potential to drive financial inclusion, build trust in digital banking, and redefine the future of marketing in the financial sector. Finally, the study identifies key areas for future research, including the need for explainable AI models, bias mitigation strategies, and regulatory approaches for ethical implementation of AI in financial services.

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Personalization Strategies and Ethical Challenges of AI in Financial Marketing

  • Zoran Kalinić,
  • Francisco Liébana-Cabanillas

摘要

Artificial intelligence (AI) has emerged as a transformative force in financial marketing, enabling banks to improve customer experience, personalize services, and optimize financial decision-making processes. This study explores the application of AI in bank marketing strategies, highlighting its role in customer segmentation, dynamic pricing, predictive analytics, and customer service automation. Despite these advances, the ethical challenges associated with AI implementation remain a key concern, particularly with regard to data privacy, algorithmic biases, and transparency. The paper examines both the opportunities and risks of AI-driven marketing, emphasizing the importance of regulatory frameworks that ensure fairness and accountability. By addressing these issues, AI has the potential to drive financial inclusion, build trust in digital banking, and redefine the future of marketing in the financial sector. Finally, the study identifies key areas for future research, including the need for explainable AI models, bias mitigation strategies, and regulatory approaches for ethical implementation of AI in financial services.