dr inż. Magdalena NIEWCZAS-DOBROWOLSKA – Katedra Zarządzania Jakością, Uniwersytet Ekonomiczny w Krakowie, ul. Rakowicka 27, 31-510 Kraków, Polska, e-mail: niewczam@uek.krakow.pl
Received 20.06.2024. Accepted 05.07.2024
Abstract
Purpose: The purpose of the article is to characterize the possibilities of using artificial intelligence in relation to food safety in the food chain.
Design/methodology/approach: A review of recent literature on AI in the food industry was conducted in relation to food safety.
Findings/conclusions: AI is used in processes in the food chain concerning its various participants (farmers, producers, distributors) as a preventive measure against food safety hazards and threats, as well as in the event of a food safety hazard and threat. AI gives the ability to collect, process, model and analyze large amounts of data, which is why its applications in the food industry and ensuring food safety are very wide – from monitoring, risk prediction, prevention, training, to quick reactions related to product withdrawal from the market and informing institutions and consumers.
Research limitations: Theoretical aspects have been addressed, but they can be expanded to include practical aspects, opinions of consumers, producers and institutions.
Practical implications: The article points to the important issue of the use of AI in quality assurance, in terms of prevention, but also in response to threats arising from food. AI can be used in various areas. We must remember ethics and responsibility when using AI.
Originality/value: This is a current topic related to the development of AI, its advantages and the threats it brings.
Keywords
artificial intelligence (AI), food industry, ensuring food safety, ethics