DOJ · DOJ-0228 · record R1656
JMIS: Route Optimizer
Department of Justice · Department of Justice / USMS
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
- Not high-impactSource: c) 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
- 2015-10 (month precision)Source: 10/2015
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Administrative Functions
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
More accurate optimization of flight schedule
Expected benefits
Evaluates over 2000 possible flight options and selects the most optimal flight. Improves efficiency of JPATS through the optimal use of flight assets.
System outputs
Proposed flight schedule
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
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- 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