DOE · DOE-613 · record R3468
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Department of Energy · LLNL - Lawrence Livermore National Laboratory (LFO)
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
- General business process and policy knowledge.
- Start date
- 2025-06-30 (day precision)Source: 2025-06-30T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Information Technology
- Operational functions
- Summarization Derived by keyword rules; see methodology
Problem the AI is intended to solve
Quick access to general policy and process knowledge.
Expected benefits
Ability to quickly find and access internal process and procedure knowledge, and and business productivity
System outputs
General answers to questions, summarized documentation, internal process and policy information.
Technology
- AI classification
- Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
- System name(s)
- Azure OpenAI API
- Custom-developed code
- Yes
- 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
- Yes
- Demographic features
- k) None of the above
- Training and evaluation data
- Not involved in training
- Federal Data Catalog
- No
Governance
4 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Pre-deployment testingReported in placeSource: a) Yes
AI impact assessmentNo answer reported
Independent reviewNo answer reported
Ongoing monitoringNo answer reported
Operator trainingNo answer reported
Fail-safeNot applicableSource: b) Not applicable
Appeal processNot applicableSource: b) Not applicable
User and public consultationOther or ambiguous answerSource: d) Other
Potential impacts and how they were identified
Not reported