FDIC · FDIC-22 · record R1055
FDIC Deposit Insurance Misrepresentation
Federal Deposit Insurance Corporation · Division of Depositor and Consumer Protection
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
- 2025-01 (month precision)Source: 01/2025
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
AI can help the FDIC identify instances of misrepresentation of FDIC Deposit Insurance.
Expected benefits
Natural language processing can search media reports and postings to identify posts with heightened risk of misrepresentation for additional review.
System outputs
A database of media reports and postings with high risk of misrepresentation to be further reviewed manually.
Technology
- AI classification
- Other
- System name(s)
- Not reported
- 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)
- Meltwater
- 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
- Yes
- Privacy Impact Assessment
- www.fdic.gov ↗
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- Not reported
- 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