Artificial intelligence in the real sector of economy (on the example of the food industry)

Abstract

The study is based on the hypothesis that the implementation of artifi intelligence into the real sector of economy is inevitable. The authors consider the regulatory framework of artifi intelligence as well as its historical aspects. The basic trajectories of the artifi intelligence implementation on the example of the food industry (modeling and optimizing food technologies, identifi assessing the quality and safety of food products) are indicated. It was noted that the prerequisite for implementation of artifi intelligence technologies in the food industry is a clearly outlined transition from mass nutrition to personalized, associated with the production of mainly combined products of complex ingredient and chemical composition. Applying of artifi intelligence technologies can signifi optimize the resource of time, increase the effi and accuracy of purchases, help reduce the cost of purchasing products, eliminate biases in decision- making, and provide the most personalized recommendations for buying goods. The study results include the analysis of Russian and foreign scientists researches in the fi of artifi intelligence and its application in the food industry. The research methodology is based on such theoretical methods as comparison, analysis, systematization, deduction, abstraction, and generalization. The article also reveals legal and conceptual aspects of artifi intelligence application, its advantages and possibilities, considers promising areas for further penetration of artifi intelligence in the food industry.