IMPLICATIONS IN THE PHILOSOPHY OF SCIENCE FROM THE USE OF ARTIFICIAL NEURAL NETWORKS

The technological advance allowed new artificial intelligence algorithms to emerge. Among the new models, those of artificial neural networks are presented as one of the most disseminated, due to their accuracy in the prediction. However, this type of algorithm is commonly called the "black box", by using multiple obscure layers, rendering its logic-mathematical inaccessible and generating problems that affect the philosophy of science. The purpose of this paper is to present epistemological problems that emerge from the use of artificial intelligence and, more specifically, the artificial neural network (ANN) method.