FRB · FRB-0049 · record R0588
Risk Rating Model – Community Banks
Federal Reserve Board · Division of Supervision and Regulation
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
- 2023-10-30 (day precision)Source: 2023-10-30T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other: Economic & FinancialSource: Other – Economic & Financial
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Develop more accurate classification framework for community banks to appropriately tailor strategies
Expected benefits
To improve upon the classification framework used to tier community banks according to risk, and to tailor examination intensity
System outputs
Statistical methods are used in the variable selection process for a model
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)
- General Support 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
- Internal – FFIEC Call Report, Uniform Bank Performance Report
- 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