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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
20230012525
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Parimal Kopardekar (Ames Research Center Mountain View, California, United States)
Date Acquired
August 24, 2023
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: ICAO Air Navigation World 2023 – Shaping the Skies of Tomorrow
Location: Montrael
Country: CA
Start Date: August 28, 2023
End Date: August 31, 2023
Sponsors: International Civil Aviation Organization
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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