Rapid Detection of Acute Releases of Toxic Substances (RaDARTS)
Department of Health and Human Services · HHS/CDC
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Emergency Management
- Operational functions
- Summarization Derived by keyword rules; see methodology
Problem the AI is intended to solve
Reporting on Acute Releases of Toxic substances involves review of new media sources and is a highly labor intensive process which may involve missed content. The goal is to rapidly ingest, categorize, summarize, and store data from news media sources to inform situational awareness and surveillance of Acute Releases of Toxic Substances.
Expected benefits
This project aligns with the NCEH/ATSDR Strategic Framework to: Monitor and effectively respond to environmental public health hazards, emergencies, and threats that affect domestic and international health security and build appropriate capacity within state, local, territorial and tribal communities. This project will significantly reduce burden on staff, the time it takes to review data, improve the timeliness of information, and all in a cost-effective manner.
System outputs
Data points such as the number of people injured, the number of fatalities, and any public health actions associated with the events(e.g. shelter in place, evacuation)
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported