The U.S. Food and Drug Administration has launched the second phase of its Artificial Intelligence (AI) im
ported Seafood Pilot program. The pilot is scheduled to run from February 1, 2021 through July 31, 2021, and the agency does not expect any significant service interruptions to industry and seafood im
port processers.
The pilot is designed to enhance and improve the agency’s ability to quickly and efficiently identify im
ported seafood products that may pose a threat to public health. This is especially im
portant since the United States im
ports upwards of 94 percent of its seafood supply.
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 demo
nstrated the potential for AI to assist FDA in ensuring the security and safety of the nation’s food supply, specifically im
ported seafood. Machine learning is a type of AI that makes it possible to rapidly analyze data, automatically identifying co
nnections and patterns in data that people or even the agency’s current rules-ba
sed 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-ba
sed technologies. The data from this pilot program will be studied and used to e
valuate the utility of AI in support of im
port 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.
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