Fraude no sistema bancário com a chegada da inteligência artificial

Abstract

Customer data privacy is a growing concern, with artificial intelligence banks can collect and analyze a staggering amount of personal information to personalize product and service offerings. However, this also raises ethical questions about data privacy and security. Banks need to establish strict security policies and ensure compliance with privacy regulations such as the General Data Protection Regulation (GDPR) in the European Union. The objective of the work is to analyze the impacts that the internet has had on banking system relations in general, and the arrival of digital banks. The present study used bibliographic research as a fundamental method for data acquisition, using the exploration of databases that house a vast amount of research and literature related to the research topic. Bibliographic research is a valuable tool that allows access to publicly accessible academic studies, covering sources such as books, articles, theses, monographs, among other resources. The arrival of artificial intelligence in the banking system has brought with it a series of challenges and opportunities related to fraud prevention and detection. In this context, the conclusion of a work on this topic should highlight that the combination of AI with modern financial transactions requires constant adaptation of security strategies