DOJ · DOJ-0073 · record R1538

Data & Analytics: Transportation OCR

Department of Justice · Department of Justice / DEA

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Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Presumed high-impact, determined notSource: b) Presumed high-impact, but determined not high impact
Impact justification: Does not produce an output that serves as a principal basis for decisions or actions with legal, material, binding, or significant effect on any of the individuals or entities identified in OMB-25-21.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Law Enforcement
Operational functions: Document processing and extraction, Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

DEA needs a reliable, accurate way to identify the cartel or other organization associated with a seized drug exhibit.

Expected benefits

AI capabilities can enable DEA to identify cartels or others organizations associated with drug seizures. This could improve DEA's understanding of drug trends.

System outputs

The technology can "fingerprint" drug seizures of various forms (e.g. packaging, powder, pills). The output is a series of best matches for experienced DEA personnel to evaluate for possible matches to associated organizations or details from previously collected drug seizures.

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: 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