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Artificial Intelligence in Aviation Safety Applications - Exploring Myths and Truths of AI and MLArtificial Intelligence (AI) and machine learning (ML) are gaining increased attention as ways to leverage the world's data to solve problems. Although AI and ML offer much potential, there are often misconceptions about the application of such techniques.Panel speakers will present machine learning approaches they have developed on a variety of aviation data, including digital flight data, safety reporting data, and voice communications data. They will discuss the purpose of the application, the data used, and the lessons learned in the development and deployment of their solutions. The panel will also discuss common pitfalls in developing an AI solution, the dangers of the current hype around AI, tips for gaining value from a ML solution, how to determine whether a ML approach is appropriate for a problem, and more.
Document ID
20190032638
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Reeves, Scott (Capt.)
(Federal Express Corp. Memphis, TN, United States)
Matthews, Bryan L.
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Chen, Shuo
(Mitre Corp. Washington, DC, United States)
Date Acquired
November 12, 2019
Publication Date
October 20, 2019
Subject Category
Avionics And Aircraft Instrumentation
Report/Patent Number
ARC-E-DAA-TN74746
Report Number: ARC-E-DAA-TN74746
Meeting Information
Meeting: Air Traffic Controllers Association Conference
Location: Washington, D.C.
Country: United States
Start Date: October 20, 2019
End Date: October 23, 2019
Sponsors: Air Traffic Control Association (ATCA)
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Public Use Permitted.
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