Искусственный интеллект в политических процессах: перспективы и вызовы

Abstract

The article is devoted to the consideration of the potential possibilities of introducing artificial intelligence systems based on machine learning into political processes to solve a wide range of political problems. Among the promising areas of implementation of algorithms in politics, the following can be distinguished: analysis of huge amounts of data on political processes, support for making internal and external political decisions, development of effective action programs, forecasting of political processes. In addition, the challenges and threats that the introduction of politicallyoriented algorithms in political processes produces are analyzed. At the same time, some of the specific forms of application of AI systems may have a pronounced malicious character. It is concluded that the large-scale introduction of AI systems into political processes produces many significant challenges to the inclusive democratic process, and the use of politically-oriented AI technologies for political purposes puts the issue of trust in political institutions and democracy in general on the agenda of society.