Research Progress in the Application of Artificial Intelligence in the Financial Field

In the financial field, the application of artificial intelligence (AI) has become a key force driving industry innovation and transformation. However, there is still a significant gap in the comprehensive and systematic application of artificial intelligence in the financial field. This article reviews the research progress of AI in the financial field to fill this gap, aiming to provide a comprehensive perspective on understanding how AI reshapes the financial industry and its future development potential, and to provide some reference and inspiration for subsequent research. This article discusses the development stages of AI in the financial field, including the initial stage, penetration stage, and integration stage. Then, in-depth research was conducted on the application of AI in various aspects of the financial field, such as consumer end, investment end, financing end, etc. Finally, the challenges and future prospects faced by AI in the financial field were discussed. This article finds that AI has been deeply integrated and widely applied in the financial field, creating enormous value and promoting the intelligence, personalization, and customization of financial services. However, the challenges that come with it, such as data privacy and algorithm transparency, are new directions that require our continued attention and research. Therefore, this article not only provides us with a comprehensive perspective on the application of AI in the financial field, but also points out future research directions, so as to promote further development in this field.