The paper presents a threat model, taxonomy, and six-dimension measurement framework for AI sandboxes to clarify valid testing claims for safety, security, and regulatory assurance.
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2 Pith papers cite this work. Polarity classification is still indexing.
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The paper maps three structural requirements from DO-178C and DO-330 onto AI governance, defining epoch limits and proof surfaces while noting their absence in current AI instruments.
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AI Sandboxes: A Threat Model, Taxonomy, and Measurement Framework
The paper presents a threat model, taxonomy, and six-dimension measurement framework for AI sandboxes to clarify valid testing claims for safety, security, and regulatory assurance.
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Fifty Years of Specification Completeness: What Aviation Certification Tells AI Governance About Epoch Limits, Proof Surfaces, and the Structural Gap
The paper maps three structural requirements from DO-178C and DO-330 onto AI governance, defining epoch limits and proof surfaces while noting their absence in current AI instruments.