Banks have long been at the forefront of technological innovation, but their work with sensitive personal data has led to stringent regulatory oversight. [1] highlights that the financial industry must balance risk management with the potential benefits of AI adoption. The article suggests that banks need to develop comprehensive strategies to ensure compliance while leveraging AI for efficiency and customer service improvements. [2], on the other hand, emphasizes the importance of ethical considerations in AI implementation within banking. They argue that banks should prioritize transparency and data security when integrating AI technologies. Both sources agree that regulatory frameworks pose significant challenges for AI adoption in banking. [1] mentions that compliance with regulations is crucial to avoid legal repercussions, while [2] stresses the need for robust internal controls to manage risks associated with AI systems. However, there are differing views on how banks can best navigate these challenges. While [1] advocates for a proactive approach by developing tailored strategies and integrating AI into existing processes, [2] recommends that banks should also engage in public dialogue about AI's impact on privacy and security.