The Food and Agricultural Organization of the UN (FAO) noted that digital instruments and human experience are vital in the consideration of the problems of food safety.
Forsyt takes into account the medium -term and long -term perspective and is used to early identify the emerging safety problems of food products as part of the transition from response to a preventive approach.
The report appeared from Expert meeting in April 2025organized by the department of agro -food systems and the safety of FAO foods as part of a program for forecasting food safety.
The publication highlights the best practices and guidelines, especially in the context of digital instruments, such as artificial intelligence (AI). It also emphasizes the importance of human supervision and cooperation to strengthen the global potential for predicting food safety.
The approach begins with clear goals, terms and flexible approach, combining qualitative and quantitative data. He relies on the collection of intelligence information under the guidance of experts. Success depends on strong communication, institutional support and consistency with decision -making processes.
Artificial intelligence tools can maintain verification, extraction, structuring, analysis and forecasting of data. However, to determine the criteria for searching, evaluating data relevance, interpretation of the results and ensuring the availability of quality control and feedback mechanisms, human experience and supervision are necessary.
There are several questions and problems, including data protection, interpretability, bias, ethics, cost, predictability, transparency and confidence in the results of AI tools.
Medium -term and long -term approach
According to FAO, Forsyt provides the basis for determining the possible future scenarios of food safety and their various consequences. While early warnings are focused on the detection of direct dangers, forecasting reveals long -term trends that may affect food safety. This helps to inform scientific and actual risk assessments and relevant political decisions.
“The combination of digital instruments with human experience is a successful formula for predicting food safety, which allows you to identify emerging trends and manage them,” said Riccardo Siligato, a specialist in supporting the programs of the department of agro -food systems and the safety of FAO foods.
According to the report, Forsyt does not require large teams or significant financing. Internal efforts can begin with a small project and expand depending on needs and resources.
Examples of existing forecasting systems can be cited by the World Health Organization (WHO) and the International Financial Corporation, which completes work on the “Road Map of the Global Food Safety Strategy”, designed to help countries to determine the level of implementation of the Global Safety Strategy for Food Safety in a particular country and outline the plan to strengthen key regions.
The food standards service of Australia and New Zealand (FSANZ) has a vigilance and intelligence network before the occurrence of problems with food products (VIBE), and the Ireland food safety department uses the system for identifying and screening risk (ERISS).
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