DOJ · DOJ-0135 · record R1583
Next Generation Identification
Department of Justice · Department of Justice / FBI
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
- 2025-06 (month precision)Source: 06/2025
- 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
The AI is intended to improve biometric and name-based matching for identification and investigation services.
Expected benefits
The AI provides more accurate biometric and name-based matching
System outputs
Biometric identification and search results containing candidates for potential investigative leads.
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
- This AI use case utilizes one or more of the demographic variables listed in compliance with all federal laws and agency regulations.
- 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.