Risks of Decision-Making Organization and Implementation Based on Big Data Analytics and Artificial Intelligence

Abstract

The search for additional tools that ensure the quality of organization and implementation of the decision-making by officials in the system of national and municipal government has become more and more relevant. Traditional approaches based on official statistics provide only a “snapshot of reality,” which is not always enough to understand the situation. Such achievements of technological progress, as big data analytics and artificial intelligence (hereinafter referred to as the technologies) make it possible to reconsider the scientific method of cognition that in practice offers additional tools to support the decision-making. To realize the potential of the technologies, it is necessary to overcome a number of problems, including those related to the organization and implementation of the decision-making process. The author considers the overall issue of uneven use of big data and artificial intelligence in the public sector, focusing on how the use of the technologies influences decision-making processes. There is a certain lag between the public sector and the private sector in the implementation of big data and artificial intelligence technologies and the wide opportunities of the government in the field of data generation compared to other economic entities. The research is based on the scientific literature analysis and case study methods. Based on the results of the study, the system of risks for organizing and implementing the decision-making process based on big data analytics and artificial intelligence is developed, which contributes to the formation of procedures for improving the quality of decisions in the system of public administration.