NewsScape
Description
Development of early warning indicators. News articles can form an early warning indicator of public health events and other pieces of information which can be utilized across all major domains of public health. Because of the quantity of news articles, manual efforts are impossible to gather this information.
Detailed example
NewsScape is a AI enabled news aggregation and summarization that is hosted within the 1CDP platform. The main motivation to build NewsScape was to develop a system that uses Large Language Models (LLMs) to surface relevant insight from recent news articles. NewsScape ingests a high volume of news articles, in the order of thousands of news articles everyday, and surfaces the information from them that related to the topic we were interested (for example, pathogen related news articles, or U.S. medical supply chain updates). The tool can be customized based on specific program office needs, and can be deployed independently of one another so that one program office can have their own custom version of NewsScape installed.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
b) Pilot – The use case has been deployed in a limited test or pilot capacity.
Expected benefit
There are a variety of endpoints that this AI output could help support. Various teams across the CDC have expressed interest in being able to quickly get the right news content, with summaries of those articles to help support outbreak detection, report generation, surveillance and monitoring of pathogen specific news, etc. AI lets us efficiently filter and summarize thousands of news articles a day into a handful of daily "news events" that user can glean information from.
Controls / human review
ATO: Yes; PIA: Not published