FDIC · FDIC – 40 · record R1064

FDIC Staffing Model

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: Human Resources
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Monitor retention rate, retirement planning, and knowledge retention and succession. The AI solution is intended to be an automated assist for auditing and monitoring efforts. This helps reduce corporate risk and works toward solving problems of succession management.

Expected benefits

Reduced time to receive answers, allowing folks to focus on more critical mission-driven work.

System outputs

A prediction on future staffing and recommendations on how to meet varied goal points. This would display charts of before and after based on dates and narratives to be included in reports for consideration. This would include drilldowns to 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