DOE · DOE-645 · record R3501
Georeference Figures
Department of Energy · LM HQ - Office of Legacy Management (LM)
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
- This AI use case does not serve as a principal basis for decisions or actions with legal, material, and binding
- Start date
- 2025-03-01 (day precision)Source: 2025-03-01T00:00:00
- Withheld from public reporting
- NoSource: a) No
Mission
- Topic area
- Energy and the Environment
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
AI-powered georeferencing will improve automation, speed, and efficiency. Manual georeferencing is expensive.
Expected benefits
Georeferenced of historical paper maps.
System outputs
AI outputs georeferenced vector file which will be evaluated by humans
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- LMGSS
- Custom-developed code
- No
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Tesseract
- 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
- Output is compared with our aerial baseline.
- 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 progressSource: b) In-progress
AI impact assessmentReported in progressSource: b) In-progress
Independent reviewReported in progressSource: d) In-progress
Ongoing monitoringReported in progressSource: b) Development of monitoring protocols is in-progress
Operator trainingReported in progressSource: b) Establishment of sufficient and periodic training is in-progress
Fail-safeReported in placeSource: a) Yes
Appeal processNot applicableSource: b) Not applicable
User and public consultationReported in placeSource: a) Direct usability testing
Potential impacts and how they were identified
Improved management of the remedy