Artificial intelligence has experienced a rapid evolution in recent years, and in the financial field solutions have developed with the same speed. Moreover, the trend of innovations in finance is an increasing one, and Fintech is gaining more and more ground instead of traditional financial services, an accelerated phenomenon and a result of digitization services globally. Obviously, in the world of research there are numerous hypotheses related to this phenomenon, which is why in our paper we propose to develop, based on empirical results, and scientifically argued answers to these challenges. Even more so, as artificial intelligence (AI) involves multiple potential risks, and these could be exemplified by opaque decisions, elements of discrimination, or even elements of a negative nature for the financial field. Identifying the opportunity and challenges of AI in the financial field is the core of this work, and the development and implementation of AI in the financial field should be based on a series of values and standards necessary for societal progress and balance.