Author: Kirsten Errick
Publisher: Nextgov
Publication Year: 2022
Summary: The following article introduces a $130 million funding effort to integrate artificial intelligence (AI) solutions into National Institutes of Health (NIH) biomedical and behavioral research. This is novel because typically the data involved in these solutions is insufficient and picks up on underlying biases far too easily. This will be remedied by creating delineated, easy-to-follow standards to create “AI-ready” datasets. The NIH is also attempting to ensure that no systemic inequities are perpetuated by the algorithms they implement while ensuring the team deploying the algorithms has diverse backgrounds and opinions among its members. It will be an ongoing process to implement all this, but diversifying the data and people crafting the algorithms represents a quick step in the right direction.