FDIC · FDIC – 42 · record R1066

Risk Identification and Response

Federal Deposit Insurance Corporation · Division of Finance

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other
Operational functions: Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

Apply a risk model to identified risks and incorporate additional data sets to identify any correlations or possible solutions. The AI solution is intended to reduce time and pain points of processing or reading through large amounts of disparate datasets or narratives.

Expected benefits

Reduce risk to corporation by being able to more quickly and accurately analyze and report out on data.

System outputs

A recommendation of any correlations among risk data and a report including possible solutions. This would be displayed via viz tables showing the high risks or abnormalities coupled with charts showing the general status. This would include drilldowns to risk profile categories and agency sections to identify areas of concern.

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): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
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