DOL · DOL-37 · record R1303
CE Interview Item Code Estimation
Department of Labor · BLS
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
- Used for survey processing for statistical purposes
- Start date
- 2019-07-01 (day precision)Source: 07/01/2019 00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other: Applied Mathematical SciencesSource: Other - Applied Mathematical Sciences
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Recommends expense classification categories for Consumer Expenditure Interview Survey expense responses.
Expected benefits
Improves data quality by identifying potentially incorrect misclassifications from data collection for human review
System outputs
Expense Classification Category
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)
- BLS Internal System
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Agency Generated
- 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