Introducing artificial intelligence into banking: a revolution in service and security

Abstract

The article is dedicated to a comprehensive analysis of the impact of artificial intelligence (AI) technologies on the modern banking sector. The authors substantiate the relevance of the study in the context of increasing competition and customer demands, emphasizing the inefficiency of traditional banking systems in the face of the challenges of big data, rapid adaptation, and service personalization. The research results demonstrate key trends in the application of AI in the banking sector, such as the automation of routine processes, personalization of services, increased efficiency in fraud detection and prevention, as well as more accurate assessment of credit risks. The authors emphasize that AI not only improves existing processes but is also a catalyst for innovation, capable of rethinking the interaction between banks and customers and creating new, customized financial ecosystems. At the same time, the article considers potential threats to humans associated with job displacement, loss of personal contact, deepening digital inequality, risks to data privacy, and the blurring of responsibility. Based on the analysis, the authors formulate a series of recommendations for the effective implementation of AI in banking institutions, covering the development of a clear strategy, investment in infrastructure and personnel, a focus on ethics and transparency, customer orientation, gradual implementation and testing, as well as cooperation and knowledge sharing. The prospects for further research highlight the importance of studying ethical aspects, the integration of AI with other advanced technologies, and the impact of AI on the future structure of the banking industry and the role of the human factor. In conclusion, it is emphasized that the successful integration of AI depends on the ability of banks to adapt and train their staff.