DOE · DOE-490 · record R3352

GitHub Copilot with the OpenAI Codex

Department of Energy · PNNL - Pacific Northwest National Laboratory (SC43 OIM)

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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: Does not meet any requiremnts for high Impact use case
Start date: 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Information Technology
Operational functions: Software development assistance Derived by keyword rules; see methodology

Problem the AI is intended to solve

Accelerate coding tasks with AI-assisted code suggestions and automation.

Expected benefits

This increases their productivity, allows them to focus more on innovation and research, and accelerates the development of high-quality software solutions for scientific research.

System outputs

This increases their productivity, allows them to focus more on innovation and research, and accelerates the development of high-quality software solutions for scientific research.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): R&D User
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): OpenAI
Vendors (standardized): OpenAI

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: Yes
Demographic features: k) None of the above
Training and evaluation data: No
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