TREAS · REQ-2024-01972 · record R2782

FRB AI Code Translation POC

Department of the Treasury · Bureau of the Fiscal Service (BFS)

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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: The tool, once deployed, is only for productivity and does not impact any of the defined high-impact areas
Start date: 2024-09-26 (day precision)Source: 9/26/2024
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

Code Assistance - Generating, debugging, and documenting code

Expected benefits

This POC will explore the remediation of legacy code by leveraging generative AI to accelerate migration to a more modern framework. The purpose of this POC is simply to evaluate the efficacy of gen AI for this purpose and any code generated would not be moved to production. AI-driven code translation accelerates the conversion of code from one language or framework to another, including updating legacy systems to modern platforms. The use of generative AI in technical debt remediation offers substantial operational efficiencies, cost savings, and strategic benefits, quantifiable through reduced labor hours, lower migration costs, and faster time-to-market for modernized applications. These advantages position teams to better leverage modern technologies and align with the strategic goals of agility and innovation.

System outputs

Remediation of Legacy code -- migrating to more modern framework

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Developed in-houseSource: b) Developed in-house
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: N/A. Evaluating tools only at this stage
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