Machine learning is a powerful tool for automating some tasks that humans can easily accomplish but, at the same time, are difficult to implement using "classic" algorithms. In recent years, thanks to the increase in the computing power of computers and the amount of data collected, algorithms have become more complex and efficient in solving increasingly difficult tasks. The increase in the complexity of algorithms, such as Deep Learning, has made the models black boxes, i.e. machines capable of performing a task faster and sometimes even better than humans, but without a way of understanding to which criteria and which calculations the algorithm provided a certain output.