Digital Media Analytics Platform

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

2024-03-01 (day precision)Source: 03/01/2024 00:00:00

Withheld from public reporting

NoSource: a) No

Mission

Topic area

International Affairs

Operational functions

Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

Using open-source neural machine translation models to translate global media articles and Department and public foreign social media posts into English.

Expected benefits

The use case reduces labor in producing media summary reports.

System outputs

Summaries of large volumes of foreign language news and online posts to help teams identify and understand trends in a more efficient manner.

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

NorthStar

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

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

No

Privacy Impact Assessment

Not reported

Authorization to Operate

Yes

Demographic features

k) None of the above

Training and evaluation data

FLORES 200+ is used for evaluating translation models

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