This document defines safety-related properties and risk factors impacting the insufficient performance and malfunctioning behaviour of Artificial Intelligence (AI) within a road vehicle context. It describes a framework that addresses all phases of the development and deployment lifecycle. This includes the derivation of suitable safety requirements on the function, considerations related to data quality and completeness, architectural measures for the control and mitigation of failures, tools used to support AI, verification and validation techniques as well as the evidence required to support an assurance argument for the overall safety of the system.

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  • Текущий статус :  Under development
  • Версия : 1
  • :
    ISO/TC 22/SC 32
    Electrical and electronic components and general system aspects

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