NASA · NASA-921 · record R0514

AI-Enhanced Mission Operations Reporting & Decision Support System

National Aeronautics and Space Administration · MSFC: Marshall Space Flight 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: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

NASA's Mission Control currently relies on a manual CHIT (Mission Action Request) system for real-time operational decisions, a process that places a high cognitive load on flight controllers who must complete forms, identify all stakeholders, and search historical data with basic tools, making it difficult to spot subtle trends. This use case proposes transforming this system by integrating an AI engine to streamline operations.

Expected benefits

The proposed solution would leverage Natural Language Processing (NLP) to enable controllers to initiate CHITs using plain language, while machine learning models would proactively analyze data to identify emerging trends and provide context-aware smart search results from historical mission data. Additionally, the AI would perform an initial automated impact assessment on new requests, flagging potential risks to enhance the speed and safety of decision-making.

System outputs

context-aware smart search results

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