ABE (AI-driven. Beneficial. Efficient.)
Department of Health and Human Services · HHS/OASH/OIDP
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2024-01 (month precision)Source: Jan-24
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Information Technology
- Operational functions
- Summarization, Search and knowledge retrieval Derived by keyword rules; see methodology
Problem the AI is intended to solve
By centralizing federal HIV program information in a custom Knowledge Base, ABE addresses the challenges of fragmented data and inefficient workflows, supporting operational efficiencies through a reduction in labor force and contracts, and providing the ability to quickly access, summarize, analyze, and create resources.
Expected benefits
ABE is expected to deliver key benefits by streamlining operations, reducing costs, and improving data-driven decision-making related to HIV/AIDS programs. ABE will serve as a mechanism to expose other federal partners to the usage of AI within a protected knowledge base, increasing work output efficiencies and fostering federal partnerships through expanded Knowledge Base assets and usage.
System outputs
generative AI content, images, summarizations, and analysis based on federally approved assets. Knowledge Base is in compliance with Gender Ideology and Preventing Woke AI Executive Orders
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Not reported
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- ICF, DataSurge
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- 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