FDIC · FDIC – 44 · record R1067

FDIC Investment Portfolio Management

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: Procurement and Financial Management
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Analyze investment history and provide an additional predictive analysis for investments. The AI solution is intended to decrease time to produce results via automation to reduce risk of human error.

Expected benefits

Reduced time to receive answers, allowing folks to focus on more critical mission-driven work, act as an additional investment analysis review for staff to compare with. This helps protect the DIF.

System outputs

A prediction of the outcome of possible investment choices and a recommendation of which would do best for the current portfolio. The output for this would be similar to a portfolio dashboard with a focus on internally flagged watch items.

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