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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
DOJ · DOJ-0065 · record R1531

Friction Ridge Print Comparisons

Department of Justice · Department of Justice / DEA

Overview

Development stage
PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation
High-impactSource: a) High-impact
Impact justification
Not reported
Start date
2024-01 (month precision)Source: 01/2024
Withheld from public reporting
NoSource: a) No

Mission

Topic area
Law Enforcement
Operational functions
Biometrics and identity Derived by keyword rules; see methodology

Problem the AI is intended to solve

DEA, when conducting fingerprint analysis to identify individuals who may be connected to evidence, needs to be able to compare friction ridge prints to other prints within the boundaries of a case. Product enables linking of cases where individuals are not necessarily identified.

Expected benefits

This use case saves time and provides information for human decision-making.

System outputs

Outputs images and portions of print cards.

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)
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)
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
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

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