NASA · NASA-746 · record R0412

AI-enabled Risk-Informed Assessment Selection (RIAS) tool

National Aeronautics and Space Administration · OSMA: Office of the Chief Safety & Mission Assurance

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: Not reported
Start date: Not reported
Withheld from public reporting: Yes (disclosure risk)Source: b) Yes – agency has determined that there’s a risk to disclosure, such as a harm to an interest protected by a FOIA exemption

Mission

Topic area: OtherSource: Other (use other text field)
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

This project leverages LLM-based tools to automate data ingestion, risk trend detection and scoring, and compliance determination across a variety of NASA applicable data. The innovative approach aims to streamline risk identification and prioritization while positioning our team at the forefront of AI-enabled risk management practices.

Expected benefits

Leverage a wide range of data to identify risk trends and prioritize areas for assessment and risk reduction.

System outputs

Prioritized assessment candidates, potential areas of mission risk.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Yes
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: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: Not reported
Training and evaluation data: Lessons learned data, mishap data, risk data, assessment data, project data.
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