DOE · DOE-610 · record R3465

Report Assistant

Department of Energy · SRS - ESB - Savannah River Site - Enterprise System Boundary (SRFO)

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: This use case does not significantly affect legal, material, or binding rights or critical access to services.
Start date: 2024-10-01 (day precision)Source: 2024-10-01T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

Management spends excessive hours generating and reformatting reports for various customers/audiences this will reduce the learing curve and effort to translate information into the various formats, saving consideratble time and effort.

Expected benefits

This will reduce the time and effort required to generate reports, allowing management to focus on more critical tasks. It is expected to halve the time spent on report generation in the first year.

System outputs

The AI system will generate draft reports for review and finalization.

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): Not reported
Custom-developed code: Not reported
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: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

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