NASA · NASA-744 · record R0411

Enhancements to T-Rex and D-Rex

National Aeronautics and Space Administration · HQ: Headquarters

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: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Service Delivery
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

Enhancement and further training of the NASA Technology Taxonomy and Target Technology Destination recommendation systems, known as T-Rex and D-Rex respectively. T-Rex and D-Rex are predictive AI models residing in the NASA TechPort system that help technologists more efficiently categorize technology using the NASA Technology Taxonomy and Target Technology Destinations. These models help ensure completeness of the categorization of technologies in the portfolio, and are used as verification and validation tools.

Expected benefits

The NASA TechPort system catalogs over 2,000 technology investments made by the Agency each year. Technologists spend a significant amount of time manually categorizing technology project investments according to the NASA Technology Taxonomy and Target Technology Destinations. The benefit to the american public is improved model accuracy by more than 8% and the saving of over 330 hours of manual labor each year.

System outputs

Predictions

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: Not reported
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