DOE · DOE-434 · record R3312
NLCOO AI for Lessons Learned tool
Department of Energy · LANL - Los Alamos National Lab (LAFO)
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 purpose business system
- Start date
- 2025-01-01 (day precision)Source: 2025-01-01T00:00:00
- 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
Provide best Lessons Learned based on the Problem a user is trying to address.
Expected benefits
Better search to gain insights from exisitng lessons learned to improve how we do work.
System outputs
Search list of relevant documents
Technology
- AI classification
- Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
- System name(s)
- Authorization to Operate Amazon Web Service Federal Risk and Authorization Management Program Infrastructure as a Service Cloud Service Provider, Amazon Web Service Information System Security Plan, SD-006-CP-002/L2
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Developed in-houseSource: b) Developed in-house
- Vendor (as reported)
- No Vendor Involved
- 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 trained on any agency or LANL data
- Federal Data Catalog
- Not reported
Governance
8 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 assessmentReported in placeSource: a) Yes
Independent reviewWaived by CAIOSource: e) Agency CAIO has waived this minimum practice and reported such waiver to OMB
Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established
Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established
Fail-safeNot applicableSource: b) Not applicable
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in placeSource: General solicitations of
comments from the publicFlag: free-text answer
Potential impacts and how they were identified
This app has made it very easy to identify lessons learned from across the enterprise.