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Next-generation factories will be increasingly based on artificial intelligence and machine learning. This will complicate their safety assessment due to higher complexity, unpredictability and uncertainties. Traditional model-based engineering and assessment approaches need to be adapted to this new context, which is a big challenge. This paper presents the state-of-the-art, challenges and open issues through a systematic review of the existing literature in this area.

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This page is a summary of: Model Based Trustworthiness Evaluation of Autonomous Cyber-Physical Production Systems: A Systematic Mapping Study, ACM Computing Surveys, January 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3640314.
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