Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
STATE · no agency ID · record R3241

FA.gov RedactAid

Department of State · F/FAO

Overview

Development stage
DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation
Not high-impactSource: c) Not high-impact
Impact justification
Not reported
Start date
2024-12-13 (day precision)Source: 12/13/2024 00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
International Affairs
Operational functions
FOIA and records management Derived by keyword rules; see methodology

Problem the AI is intended to solve

The need to improve data quality of information and prevent sensitive data from being published to ForeignAssistance.gov.

Expected benefits

Reduced effort and improved consistency and accuracy in protecting sensitive information from getting published in public-facing databases.

System outputs

Sensitive information is identified and flagged prior to ForeignAssistance.gov publication.

Technology

AI classification
Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
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)
Guidehouse
Vendors (standardized)
Guidehouse

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
The RedactAid model was trained using historical unredacted ForeignAssistance.gov datasets.
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