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Practical validation of AI within the SOTIF framework

We present an accelerated Bayesian HARA approach leveraging hazardous miles, rendering SOTIF practical. It is possible to integrate FuSa, SOTIF and STPA, into a single common best practice. Whereas FuSa focused on correct implementation against verifiable requirements, SOTIF focuses on correct scoping using a scenario requirement process, and STPA focuses on correct diagnosis through the appropriate root cause analysis.
Released on: November, 2020

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