DOJ · DOJ-0157 · record R1598
Medical Designations Calculator
Department of Justice · Department of Justice / FBOP
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
- 2010-06 (month precision)Source: 06/2010
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Health and Medical
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Initial medical and mental health care levels.
Expected benefits
Reducing the time to determine a final medical and mental health care level.
System outputs
A medical and mental health care level score (1-4)
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
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- SAS
- Vendors (standardized)
- SAS
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
- No
- 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.