NASA · NASA-25 · record R0117

NextGen Advanced Methods: ATCSCC Webinar Speech2Text and Analysis

National Aeronautics and Space Administration · ARC: Ames Research Center

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
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: Transportation
Operational functions: Translation and transcription Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Advanced Methods project explores the use of innovative and emerging technologies to drive post operational analysis of Traffic Management for aircraft. Technologies such as machine learning, (ML), artificial intelligence (AI), and advanced data analytics for use in improving the FAA’s traffic flow management. In this specific use case, our aim is to use deep learning to convert live ATCSCC webinar meeting conversation to text, and then apply natural language processing to the converted text data for later analysis and review.

Expected benefits

System outputs

Text from speech to text and NLP of air traffic management content.

Technology

AI classification: Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.
System name(s): ATCSCC
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): NLP
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: Yes
Demographic features: Not reported
Training and evaluation data: traffic management 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