Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
HHS · no agency ID · record R1020

AI-enabled User Support and Impact Monitoring

Department of Health and Human Services · HHS/NIH

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
Administrative Functions
Operational functions
Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

User support for DSLD data inquiries and monitoring of DSLD usage and impact in the research community.

Expected benefits

Support AI adoption in the federal workforce, offer new ways to address the complex analytical needs of DSLD’s “super-user” community by allowing for a deeper exploration of the data than the standard DSLD web interface can provide, and provides the opportunity to evaluate the AI tool and to make incremental improvements by fine-tuning the model and interface.

System outputs

Chatbot-style interface

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
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.

Pre-deployment testingNo answer reported
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNo answer reported
Appeal processNo answer reported
User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported