Using Operational Design Domain in Hazard Identification for Automated Systems

2022 18th European Dependable Computing Conference (EDCC)(2022)

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摘要
Artificial Intelligence (AI) based components require new approaches to identify the risks they introduce in Automated Systems (ASs). This paper presents a methodology designed to support the identification of hazards in ASs. This methodology is built on the definition of scenarios derived from Operational Design Domain specification, a taxonomy of vehicle capabilities, and augmented keyword-based hazard analysis. An ontological model relates these elements to help discover specific hazards pertaining to AI integration in ASs. The method is implemented in a web-based framework and exemplified in a vehicle driving scenario. The demonstration video, keywords, and code are available at https://github.com/ollierGuillaume/AI-HARA.
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关键词
Safety-critical,Artificial Intelligence,ODD,Safety,Hazard,Automated Driving Systems
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