Generative AI falls short in accurately identifying global health policies

News-Medical.Net December 17, 2024
Dr. Sanchari Sinha Dutta, Ph.D.

While AI tools accelerate data collection, a study reveals significant inaccuracies in policy interpretation, particularly in African and Eastern Mediterranean regions.

Scientists at the Georgetown University Center for Global Health Science and Security, USA, have conducted a study to evaluate the accuracy and precision of generative artificial intelligence (GAI) tools in identifying and interpreting health policies worldwide. The study is published in the journal PLOS ONE.

Background

The Analysis and Mapping of Policies for Emerging Infectious Diseases project utilizes human subject-matter experts to systematically surface, analyze, and categorize health policies from all United Nations (UN) Member States.

Recently emerging generative artificial intelligence (GAI) technology has developed tools for rapidly screening and examining vast amounts of medical data.

The recent proliferation...

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