A systematic literature review on applications of explainable artificial intelligence in the financial sector

The development of artificial intelligence undoubtedly affects every field containing data. Today, the integration of artificial intelligence into systems has gained momentum in a remarkable way. The use of artificial intelligence in finance has an important share among the areas where artificial intelligence is integrated. However, it is an issue that needs to be considered how safe it is when using artificial intelligence in a critical area such as finance. Many artificial intelligence algorithms used work as a closed box and there is no clear observation of how it works. At this point, the importance of the concept of explainable artificial intelligence emerges. In this study, a literature review has been conducted to examine the studies on explainable artificial intelligence algorithms used in the financial sector. In the literature study, answers to the questions of “which explainable artificial intelligence algorithms are used for which financial services”, “whether explainable artificial intelligence algorithms are really suitable for financial services”, “what effect the use of explainable artificial intelligence has on the performance of the financial services offered”, “what kind of data sets are preferred for the applications of explainable artificial intelligence algorithms in financial services” were sought.