MiX Indicators
Description
Identification of emerging health threats.
Detailed example
The main AI system output will be anomaly detection which represents two elements: 1) AI/ML predictions for usual trends in news story key terms vs. 2) the actual daily number of mentions for key terms in the news. When the actual number of mentions for key terms exceeds modeled predictions, these will be detected as anomalies.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Online news and other open-source media can be used to quickly detect and respond to emerging health security threats. However, it is not practical for people to read and scan all online news stories every day for key terms. AI/ML makes it possible to read, digest and organize news stories to look for key threat terms. AI/ML will also be used to predict normal trends in news stories. This makes it possible to detect when an unusual number of health security threat terms are found in the news. This use of AI/ML helps prepare for, respond to, and protect from potential health security threats.
Controls / human review
ATO: Not reported; PIA: Not published