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