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Re-imagining ISO 26262 in the Age of Autonomous Vehicles: Enhancing Controllability through Transferability and Predictability

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·1 events·first seen Jun 8, 2026

Aliases: Re-imagining ISO 26262 in the Age of Autonomous Vehicles: Enhancing Controllability through Transferability and Predictability

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ISO 26262 ISO/PAS 21448

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ISO 26262 A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance Planning-aligned Token Compression for Long-Context Autonomous Driving AI Control Roadmap Intervention-Aware Variational Quantum Differentiable Predictive Control Predicting Future Behaviors in Reasoning Models Enables Better Steering ISO/IEC 42001:2023 The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems ISO/PAS 21448

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4arXiv · cs.AI·Jun 8, 2026·source ↗

Paper proposes Transferability and Predictability metrics to extend ISO 26262 for autonomous vehicles

A preprint from arXiv proposes decomposing the ISO 26262 'Controllability' concept into two measurable sub-dimensions—Transferability (AV handoff to fallback mechanisms) and Predictability (external agents' ability to anticipate AV behavior)—to make functional safety standards applicable to driverless SAE Level 4/5 systems. The authors provide a mathematical framework for quantifying Predictability and introduce a designed-versus-achievable gap to distinguish architectural claims from scene-conditioned fallback capability. The proposed metrics are designed to align with both ISO 26262 and ISO/PAS 21448 (SOTIF), making safety claims falsifiable and traceable across operational design domains.

AI Safety Research ISO 26262 Re-imagining ISO 26262 in the Age of Autonomous Vehicles: Enhancing Controllability through Transferability and Predictability ISO/PAS 21448