DOJ · DOJ-0039 · record R1509

Veritone Illuminate

Department of Justice · Department of Justice / ATR

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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2023-01 (month precision)Source: 01/2023
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Law Enforcement
Operational functions: Translation and transcription, Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

Veritone Illuminate is a cloud-based application that provides machine translation and audio and video analysis transcription to aid human review in investigations. The product allows us to leverage artificial intelligence (AI) to systematically turn unstructured data (audio and video files) into structured data. The structured data can be easily searchable and provide more value to our cases.

Expected benefits

Converts audio and video files to text searchable formats, and quickly translates multiple native languages into English-based text for more efficient review.

System outputs

audio/video transcription text face detection (not used) object/scene detection results in images/videos text extraction from images speaker identification in audio pattern recognition results entity extraction

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Redacted for cybersecurity purposes.
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): Veritone
Vendors (standardized): Veritone

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: The case owner relied on DOJ AI governance practices to select and prepare data, as well as evaluate performance.
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in progressSource: b) In-progress

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress

Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress

Fail-safeReported in progressSource: c) In-progress

Appeal processReported in progressSource: c) Establishment of an appropriate appeal process is in-progress

User and public consultationReported in progressSource: e) In-progress

Potential impacts and how they were identified

Consistent with Executive Orders and OMB guidance, the case owner relied on DOJ AI governance practices to evaluate impacts and risks.