1818-4049 3033-635X Власть и управление на Востоке России POWER AND ADMINISTRATION IN THE EAST OF RUSSIA 10.22394/1818-4049-2024-107-2-51-63 Искусственный интеллект в реальном секторе экономики (на примере пищевой индустрии) Artificial intelligence in the real sector of economy (on the example of the food industry) Алешков Алексей Викторович Алешков Алексей Викторович Aleshkov Alexey V. aleshkovalexey@gmail.com 0000-0003-3853-4772 Синюков Василий Алексеевич Синюков Василий Алексеевич Sinyukov Vasily A. v.sinukov@yandex.ru 0000-0001-6266-0088 Ивашкин Михаил Вячеславович Ивашкин Михаил Вячеславович Ivashkin Mikhail V. Ivashkin62@mail.ru 0009-0001-5558-4619 Тихоокеанский государственный университет, Хабаровск, Россия Тhe Pacific State University, Khabarovsk, Russia 09 07 2024 2(107) 51 63 08 05 2024 23 05 2024 21 05 2024

В основу оригинального исследования положена гипотеза о неотвратимости внедрения искусственного интеллекта в реальный сектор экономики. Авторы рассматривают нормативно-правовые основы искусственного интеллекта, а также его исторические аспекты. При этом обозначены базовые траектории применения искусственного интеллекта на примере пищевой индустрии – при моделировании и оптимизации пищевых технологий, идентификации, оценке качества и безопасности пищевой продукции. Отмечено, что предпосылкой к внедрению технологий искусственного интеллекта в пищевой индустрии выступает четко наметившийся переход от массового питания к персонализированному, связанный с производством преимущественно комбинированных продуктов сложного ингредиентного и химического состава. Как следствие, технологии искусственного интеллекта позволяют существенно оптимизировать ресурс времени, повысить эффективность и точность совершаемых покупок, способствуют снижению затрат на приобретение продукции и устранению предубеждений при принятии решений, а также предоставляют максимально персонализированные рекомендации при покупке товаров. Результаты исследования включают обзор и анализ трудов российских и зарубежных ученых в области искусственного интеллекта и сфер его применения в пищевой индустрии, а методология исследования базируется на таких теоретических методах научного познания, как сравнение, анализ, систематизация, дедукция, абстракция, обобщение. Также статья раскрывает юридические и концептуальные аспекты искусственного интеллекта и областей его применения, рассматривает перспективные направления дальнейшего проникновения искусственного интеллекта в пищевой индустрии. В заключении обобщаются преимущества и возможности использования искусственного интеллекта по всей цепочке прослеживаемости пищевой продукции, использования его для анализа цифрового профиля при установлении аутентичности и идентификации пищевой продукции.

The study is based on the hypothesis that the implementation of artificial intelligence into the real sector of economy is inevitable. The authors consider the regulatory framework of artificial intelligence as well as its historical aspects. The basic trajectories of the artificial intelligence implementation on the example of the food industry (modeling and optimizing food technologies, identification, assessing the quality and safety of food products) are indicated. It was noted that the prerequisite for implementation of artificial 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 artificial intelligence technologies can significantly optimize the resource of time, increase the efficiency 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 field of artificial 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 artificial intelligence application, its advantages and possibilities, considers promising areas for further penetration of artificial intelligence in the food industry.

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