Completed
Artificial Intelligence (AI) and machine learning (ML) are transforming society, education, research, and the translation of research to policy and practice. In many respects, the field of food and nutrition is a late adopter of AI and ML but offers the possibility of addressing the complex interactions among foods, nutritional status, and health behaviors. This meeting of experts will explore the current knowledge and future options for the use of AI, ML, and deep learning in accelerating the use of scientific evidence in food and nutrition practice, policy, and guidance.
Description
The National Academies of Sciences, Engineering, and Medicine will plan, organize, and structure a 1-1/2 day meeting of experts and stakeholders to review and discuss the current state of knowledge and practice relative to the use of artificial intelligence (AI) and machine learning (ML) in accelerating the translation of scientific data to policy and practice in food and nutrition. The meeting of experts will focus on the following questions:
1. What is the current state and future prospects for the use of AI/ML in accelerating the process of reviewing and synthesizing scientific evidence? This can include the generation of systematic reviews and meta-analyses and/or continuous monitoring of the evidence leading to the triggering of a de novo or updated systematic review, when warranted;
2. What are the current and future prospects for the use of AI/ML in generating high-quality scientific evidence from large data sets, and its relative placement in the hierarchy of scientific evidence?
Contributors
Sponsors
Private: Non Profit
Texas A&M University
Staff
Alice Vorosmarti
Lead
