DOE · DOE-450 · record R3325

MAPPRITE

Department of Energy · EHSS HQ - Office of Environment Health Safety and Security (EHSS)

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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: MAPPRITE's AI does not provide outputs that serve as a principal basis for decisions or actions with legal, material, binding, or significant effects.
Start date: 2025-11-23 (day precision)Source: 2025-11-23T00:00:00
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

Expected benefits

(1) The implemented AI will help automate data mining, ingesting, and indexing of existing disparate organizational data sources information for relevant safeguards and security (S&S) support information; and the (2) expected benefits will be to help improve EHSS-51 business workflows for researching potentially relevant S&S support data available such that the information will be accessible and searchable by policy subject matter specialists for awareness and additional context for strategic decision-making and policy management

System outputs

In its full implementation phase, the application's AI output will provide S&S policy [support] data available such that the information will be accessible and searchable by policy subject matter specialists for strategic decision-making and policy management without having to manually search through hundreds of sources for relevant 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): Provisional Authorization to Operate (P-ATO) for the Methodology for Analyzing and Prioritizing Policy Requirements and Integrating Them for Effectiveness (MAPPRITE)
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Special Technologies Laboratory (STL)
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: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: Not reported
Training and evaluation data: Department of Energy Directives. Requirement source documents, such as statutes, regulations and standards were also provided to the development team to assist with ingesting content to the AI model via AWS Kendra.
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