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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
STATE · no agency ID · record R3264

TIP Report Research Translation

Department of State · DT

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
2023-11-01 (day precision)Source: 11/01/2023 00:00:00
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Other
Operational functions
Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

The TIP Report Translation AI system provides informal, unofficial translations for materials related to the annual Trafficking in Persons report. This capability saves staff time and allows researchers and drafters to focus on critical report needs, such as identifying and resolving data gaps.

Expected benefits

This capability saves staff time and allows researchers and drafters to focus on critical report needs, such as identifying and resolving data gaps.

System outputs

Informal, unofficial translations of PDFs and Microsoft word documents. Each document includes a watermark denoting that the AI translation is unofficial and must be reviewed by a human.

Technology

AI classification
Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s)
AzureAI Translator
Custom-developed code
No
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)
Deloitte, AzureAI
Vendors (standardized)
MicrosoftDeloitte

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
Yes
Demographic features
k) None of the above
Training and evaluation data
We do not train nor fine-tune the foundational model, but there is ongoing evaluation of the performance of the foundational model.
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