Artificial Intelligence in Aeronautical Systems: Statement of Concerns
AIR6988
This document reviews current aerospace software, hardware, and system development standards used in the certification/approval process of safety-critical airborne and ground-based systems, and assesses whether these standards are compatible with a typical Artificial Intelligence (AI) and Machine Learning (ML) development approach. The document then outlines what is required to produce a standard that provides the necessary accommodation to support integration of ML-enabled sub-systems into safety-critical airborne and ground-based systems, and details next steps in the production of such a standard.
Rationale:
In order to provide a means of compliance for the certification of Artificial Intelligence (AI) within safety critical aeronautical systems, the committee must first review existing standards and perform a gap analysis to understand how and why existing standards cannot be reliably used. This document serves as that gap analysis and provides a list of concerns that need to be addressed in order to produce a future means of compliance.
Related Topics:
Artificial intelligence (AI)
Unmanned aerial vehicles
Machine learning
Supply chain management
Architecture
Neural networks
Safety critical systems
Data acquisition and handling
Control systems
Also known as: SAE AIR 6988
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