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Developing AI/ML Components (and their Standards) for Civil Aviation : Challenges and BarriersThe inability to establish appropriate assurance methods for AI/ML components in safety critical systems leaves us unable to effectively manage the risks and benefits of such systems. It drives cost of development for systems with AI/ML components uneconomically high, it delays the adoption of systems with AI/ML components at scale, and it can result in catastrophic consequences in terms of the safety of systems with AI/ML components. In this presentation we will explore challenges and barriers to introducing AI/ML components performing a safety-critical functions in aviation.
Document ID
20250002459
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Natasha Neogi
(Langley Research Center Hampton, United States)
Date Acquired
March 7, 2025
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: Aerospace Control and Guidance Systems Committee (ACGSC) Meeting
Location: Houston, TX
Country: US
Start Date: March 12, 2025
End Date: March 14, 2025
Sponsors: SAE International
Funding Number(s)
WBS: 340428.02.60.07.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Standards
Assurance
Safety Arguments
Artificial Intelligence
Machine Learning
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