About this work
Nearly three-quarters of people in the U.S. turn to the internet first for information about health and wellness, and they frequently ask questions about nutrition. However, online nutrition information is often conflicting and sometimes contains misinformation.
New technology, including artificial intelligence (AI), represents an exciting new opportunity to consistently present reliable access to high-quality nutrition information to more people. However, th e nutrition and health evidence that current AI tools use t o provid e information to consumers lacks nutrition al nuance , consensus, and accuracy. Ongoing basic standards for elevating particular trusted sources are not keeping up with the breadth, pace, and highly variable quality of nutrition information available nor the growing consumer demand.
Importantly, AI-based tools cannot solve this dilemma without strategic, effective curation of inputs and testing and validation of outputs. T his project, Improving Nutrition Information Quality with Google AI , aims to solve these issues by develop ing a trusted AI-based tool to deliver the most up-to-date nutritional advice and facts , driven by the expertise of the research team, including multiple registered dieti t ians . Project Aims Aim 1 P roduce a first-in-class AI-based tool to elevate trusted nutrition information and mitigate nutrition misinformation, powered by Palm2 and Tufts FIMI nutrition expertise .
Aim 2 Generate a conversational response between the end-u…
