Informing Regulatory Decisions
with Food Risk Intelligence
Key Objective
To overcome the fragmentation of the Food Safety Data and enhance Food Safety regulatory decision making.
Introducing food safety regulations is a slow process involving complex multi-stakeholder decisions. To enhance it, regulators and public authorities require decision making tools that combine regulatory with food risk intelligence data.
There is a need to encourage organizations involved in food safety to focus on specific types of regulatory and risk-related information, and to bring their resources together within an integrated framework that supports reuse and collaboration. To make effective use of this information, regulators and public authorities require tools that can use legal data in a way that is easy to access, understand, and apply in real-world decisions.
This Use Case, through a unique approach, will provide AI-powered tools that generate summaries of complex regulatory documents and enable interactive access to them via a chatbot. The chatbot can support single or multiple regulatory documents, adapting to different user needs. This will improve the accessibility and usability of regulatory knowledge, enabling faster and more informed decision-making in real time.
- SGS Digicomply will offer its extensive set of regulatory data and relevant mining/processing algorithms.
- Other participants will also be attracted and be able to upload data of various types and contribute crawling software, AI models, and NLP modules
In this Use Case the EFRA Data & Analytics Marketplace will enable individuals and organisations to upload collected datasets, such as data obtained through crawling or mining tools into the EFRA Powerhouse platform.
Once uploaded, the platform provides advanced capabilities for processing and exploring textual data. These include automatic summarisation of legal and regulatory content, as well as indexing through both sparse and dense retrieval techniques. This allows users to efficiently search for and extract relevant information from the available datasets using natural language queries and other navigation methods.
The Marketplace focuses on adding value to contributed data through intelligent processing and access tools. This creates opportunities for collaboration and knowledge exchange among participants, who can benefit from enhanced access to structured insights.
Through the networks of SGS Digicomply and CNR as well as EFRA’s communication activities, a diverse range of contributors will be engaged to provide data and software components. At the same time, inspection authorities, food safety authorities, and national or EC legislators will be involved as data users across two use-case cycles within the project.
Potential participating organisations will include leading food companies and food safety authorities as part of the EFSA’s EREN framework.
EFRA will aggregate all the above-mentioned sources of data and technologies for real-time informing of regulatory decisions based on global food risk data.
