DOE · DOE-609 · record R3463
Custom GenAI for Advanced Reactor Development (RickoverAI)
Department of Energy · NE INL - NE Idaho National Laboratory (NE)
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- 2025-08-04 (day precision)Source: 2025-08-04T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Reactor engineers spending extensive time manually iterating through documents during the reactor engineering process
Expected benefits
Reactor engineers save time by using the AI to quickly find answers and relevant source documents.
System outputs
Answers to reactor design and engineering questions with citations back to source documents.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- aaportal.inl.gov/rickoverai/ (internal)
- Custom-developed code
- Yes
- Public source code
- Not available
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- Open source development with INL Advanced Analytics Center of Excellence
- 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
- Advanced reactor engineering schematics
- 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