Algocracy in the Political System: Pro & Contra

Abstract

The development of information and communication technologies leads to new technological phenomena, such as artificial intelligence, which makes it possible to increase the capacity of the human brain to process information and make decisions. Over the last twenty years, the information collection system has become more complex, its volume is growing exponentially, and new ways of processing information, such as neural networks and machine learning, are appearing. Technologies are rapidly changing and developing, and of course the public administration system takes them to improve the accuracy of forecasts and the quality of decision-making in various policy sectors. Algorithmic governance is referred to by the term algocracy. However, not all of the public administration system works with the use of machine learning algorithms remain areas where traditional decision-making methods persist. Despite the progressiveness of algorithmic governance there are still a number of problematic aspects that require ethical and legislative regulation of algorithmic governance. The purpose of this article is to analyze the essence of governance based on the use of big data algorithms and to present a classification of the advantages and risks of an automated data analysis system for public administration.