NASA · NASA-540 · record R0279

General AI LLM Chatbot for NASA CUI Data: Accelerated Langley Transformation Initiative Research Assistant (ALTIRA)

National Aeronautics and Space Administration · LaRC: Langley 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: Chatbot or virtual assistant Derived by keyword rules; see methodology

Problem the AI is intended to solve

Accelerated Langley Transformation Initiative Research Assistant (ALTIRA) is an artificial intelligence (AI) chatbot planned for general-purpose use for processing NASA CUI (not ITAR) data.

Expected benefits

Accelerated Langley Transformation Initiative Research Assistant (ALTIRA) is an artificial intelligence (AI) chatbot planned for general-purpose use for processing NASA CUI (not ITAR) data.

System outputs

The first phase of this project will establish a minimum-viable-product utilizing Anthropic Claude 3.5 - based large language model (LLM) AI chatbot as quickly as possible to meet NASA needs. Phase 2 will develop a more sustainable and feature-rich multi-model and multi-modal implementation. This effort is presently led and funded by LaRC with consultation with and technical assistance from personnel at HQ, GSFC, GRC, ARC, and JSC. It will be available to all NASA personnel. LaRC has funded initial establishment, but insufficient resources are available to sustain this as an Agency-wide capability. This project leverages the Langley Transformation Initiative (LTI) sandbox account on Mission Cloud Platform (MCP) / Amazon Web Services (AWS) Commercial.

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: 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