NCUA · NCUA_E&I-01 · record R2434
Machine Learning Data Validation
National Credit Union Administration · NCUA|E&I
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
- Not reported
- Start date
- 2023-02-01 (day precision)Source: 2023-02-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Procurement and Financial Management
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Flags anomalies in Call Report data to improve data quality and reduce manual review
Expected benefits
Improve Call Report data quality
System outputs
Provide lists of potential data outliers for each credit union
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)
- SAS
- 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
- No
- Demographic features
- l) Other
- Training and evaluation data
- NCUA Quarterly Call Report Data.
- 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