FRB · FRB-0031 · record R0575
Novel Activities Call Report Classification
Federal Reserve Board · Division of Supervision and Regulation
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2024-07-01 (day precision)Source: 2024-07-01T00:00:00
- 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
Identify emerging or non-traditional banking activities
Expected benefits
The random forest model would parse out what reported categories most significantly predict inclusion on novel banking activity lists
System outputs
The model identifies call report line items that are correlated with the banks on internal supervisory lists and classifies banks based on their statistical similarity to banks engaged in novel activities
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 – FDIC Deposits
- 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