In 2019, the agency launched the first phase of the pilot, an analytical proof of concept, to examine the use of Machine Learning (ML) to target violative seafood shipments. The analysis demonstrated the potential for AI to assist FDA in ensuring the security and safety of the nation’s food supply, specifically imported seafood. Machine learning is a type of AI that makes it possible to rapidly analyze data, automatically identifying connections and patterns in data that people or even the agency’s current rules-based screening system cannot see.

As part of the FDA’s New Era of Smarter Food Safety initiative, the agency is undertaking a cross-cutting effort to leverage its use of AI-based technologies. The data from this pilot program will be studied and used to evaluate the utility of AI in support of import targeting, which may ultimately help implement an AI model to target high-risk seafood products. 

• The pilot program will help the agency not only gain valuable experience with new powerful AI-enabled technology but also add to the tools used to determine compliance with regulatory requirements and speed up detection of public health threats.
• Following completion of the pilot, FDA will communicate on our findings to promote transparency and facilitate dialogue on how new and emerging technologies can be harnessed to solve complex public health challenges.
• The FDA is expanding its use of new smarter tools and approaches to help inform its oversight of foods and help ensure a strong and resilient food system.    

For more information or questions, please contact FDA’s Office of Regulatory Affairs (ORA) via email at ORAOEIOAIInquiry@fda.hhs.gov.

For Additional Information:

• FDA Voices
• New Era of Smarter Food Safety
• FDA Technology Modernization Action Plan 
• Import Screening Pilot Unleashes the Power of Data and Leverages Artificial Intelligence