FDIC · FDIC-64 · record R1084

Background Check Web Application

Federal Deposit Insurance Corporation · Division of Resolutions and Receiverships

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: 2011-01 (month precision)Source: 01/2011
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

FDIC can only maintain contact details of individuals or entities if they are self reported by them. The CLEAR service provides potentially the most current contact and entity information for Individuals or Companies who may be holding monetary assets or bonds in failed institutions and may need to be reimbursed.

Expected benefits

Expected benefits are the most current contact information for individuals/companies including any related subsidiary entities.

System outputs

Web based output with contact details for individuals or entities.

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): CLEAR
Custom-developed code: No
Public source code: No open-source. CLEAR is a company proprietary licensed system.

Sourcing

How it was built: Purchased from vendorSource: a) Purchased from a vendor
Vendor (as reported): CLEAR
Vendors (standardized): CLEAR

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: No
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: FDIC does not train the model.
Federal Data Catalog: No

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