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Responsible AI Framework for Air Traffic ManagementFuture system will require increased levels of automation to address increased diversity, density, environmental considerations resulting in higher complexity. Will automation be able to manage off-nominal, non-normal, unexpected, contingency situations?

Document ID
20230009476
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Parimal Kopardekar (Ames Research Center Mountain View, California, United States)
Date Acquired
June 26, 2023
Subject Category
Aeronautics (General)
Avionics And Aircraft Instrumentation
Air Transportation and Safety
Computer Systems
Meeting Information
Meeting: 1st Haiku Workshop: Al in Aviation - Navigating the Hype
Location: Brussels
Country: BE
Start Date: June 26, 2023
End Date: June 27, 2023
Sponsors: Eurocontrol
Funding Number(s)
WBS: 090265
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
Single Expert
Keywords
artificial intelligence
machine learning
safety
UTM
ATM

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