Neural networks in modern politics

This article reveals the history of neural networks creation, which is closely related to two sciences: philosophy and mathematics. Philosophy made a significant contribution to the basis of neural networks. Mathematics contributed to the creation of artificial intelligence through the research in such areas as logic, computational theory, and probability theory. The article provides a brief analysis of the principle of operation of a neural network, discusses the possibilities of artificial intelligence in modern politics and provides suggestions for minimizing the damage to any society from the use of neural networks. Today, the development of neural networks is the key problem of both scientists and the largest technology companies. Neural networks can be dangerous in politics, but they have great potential and therefore are widely used in the field of politics, for example, text generation, information collection, modeling, etc. Artificial intelligence helps to make the right decisions, shape society's requests, predict future events using mathematical models, process huge amount of information, correct people's mistakes, which in the case of "manual" work would take a lot of resources.