New database brings together 392 million food safety records to track changing risks across Europe
Around 392 million results from decades of European food safety monitoring have been brought together in a publicly available database developed by researchers from the HOLiFOOD project.
Researchers from the HOLiFOOD project have compiled a vast collection of 392 million food safety records from across Europe into a publicly accessible database called CHEFS (CompreHensive European Food Safety database). This comprehensive resource enables researchers to analyze food safety trends and explore how artificial intelligence (AI) could aid in detecting evolving contamination risks.
The database serves as one of the key outputs from HOLiFOOD, which has also published four policy briefs offering recommendations for European and national policymakers.
The project emphasizes that while data and advanced technologies can bolster food safety, they are just part of the solution. Expert interpretation, effective communication with citizens, and policy decisions that account for impacts across the entire food system are equally crucial. Factors such as climate and weather, global trade, socioeconomic conditions, and changes in food production can influence food safety risks, necessitating information from various sectors within the food system.
HOLiFOOD researchers identified more than 300 variables that could be used as inputs for AI models, encompassing environmental, socioeconomic, production, and trade-related indicators. By merging historical monitoring data with these variables, researchers developed an AI model capable of estimating the probability of feed samples exceeding safety thresholds.
Although this model is not a substitute for laboratory testing or expert assessment, it illustrates how diverse evidence sources can be combined to investigate changing contamination risks and determine if additional surveillance is needed.
However, the researchers stress the importance of transparency, explainability, and the use of well-documented, representative data in AI tools for food safety. Users must comprehend how predictions are generated, evaluate their limitations, and retain responsibility for interpreting the outcomes. The project also investigated emerging technologies that could augment conventional food safety controls, including metagenomics, portable PCR systems, biosensors, spectroscopy, and AI-supported chemical analysis.
While these technologies hold promise, their broader implementation will require further validation and clear regulatory frameworks.
One significant challenge highlighted by HOLiFOOD is the psychological distance of long-term risks, such as climate change, which may not be immediately apparent to the public. To address this issue, the researchers recommend communicating these risks using locally relevant examples and examining citizen observations and social media discussions, albeit with their inherent limitations.
Citizen-generated reports require verification and integration into institutional surveillance and response systems, while social media discussions should not be considered representative of the broader population. Lastly, HOLiFOOD emphasizes the need for policymakers, risk assessors, and experts from various disciplines to collaborate early on to identify and evaluate potential consequences across the food system transparently.
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