NASA · NASA-42 · record R0123

MADI - Strategic Foresight and Knowledge Management infrastructure for ARMD/TACP/CAS

National Aeronautics and Space Administration · GRC: Glenn Research Center

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: Science
Operational functions: Search and knowledge retrieval Derived by keyword rules; see methodology

Problem the AI is intended to solve

The CAS Discovery team is developing, testing and using digital infrastructure to meet the pace of expected deliverables in an automated, efficient, collaborative manner, including taking advantage of AI/ML capabilities.

Expected benefits

A digital infrastructure would enable a curated problem database. It is essential to minimize rework due to not being able to find previous data, information, and analyses and having to repeat past work. This type of infrastructure would be adaptable to other innovation areas at NASA, especially those that are working in “problem space” rather than technology development space. In addition MADI is able to speculate on futures and generate scenarios. MADI is also able to provide recombinant innovation support to identify ways to use archived technologies and proposals in new ways.

System outputs

Recommendations and associations as natural language output.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
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