DOE · DOE-677 · record R3534
EES&T Document Processing
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
- Not high-impactSource: c) Not high-impact
- Impact justification
- Used for general purpose use cases within EES&T organization
- Start date
- Not reported
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Other
- Operational functions
- Document processing and extraction Derived by keyword rules; see methodology
Problem the AI is intended to solve
Not available
Expected benefits
Cuts manual processing time and improves data accessibility by automating document classification and extraction, increasing operational efficiency.
System outputs
Information summaries
Technology
- AI classification
- Other
- System name(s)
- Not reported
- 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)
- Not available
- 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
- No
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- 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