DOE · DOE-483 · record R3347

INL AI Virtual Assitant (AiVA)

Department of Energy · NE INL - NE Idaho National Laboratory (NE)

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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: Used as a general/business chat agent for genAI.
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Other
Operational functions: Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

work productivity

Expected benefits

This chatbot uses commercial chatgpt-like capability to answer questions, provide coaching on processes, summarize and improve communications, and produce code in a variety of formats. INL has been authorized and has planned activiites in 2025 to begin adding internal INL non-CUI data using RAG. Examples include the employee handbook and approved controlled documents.

System outputs

Outputs are consistent with commercial chatbot products, such as ChatGPT.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): CS-SSP-123,Cybersecurity System Security Plan for Azure Platform
Custom-developed code: Yes
Public source code: Not available

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: Yes
Demographic features: Not reported
Training and evaluation data: At this time, INL plans to use non-CUI data with this solution, including the employee handbook, approved controlled documents, and other material that will assist workers in completing processes and activities. RAG (mini RAG preferred) is the method that will be used for integration with the AI solution.
Federal Data Catalog: Not available

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