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arXiv 2305.17873cs.HCcs.AI
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过程安全中的数字鸿沟:人类与人工智能协作的定量风险分析

The Digital Divide in Process Safety: Quantitative Risk Analysis of Human-AI Collaboration

University of Alberta(阿尔伯塔大学)

He Wen

AI总结:

本文针对过程安全中人与AI协作的数字鸿沟问题,结合LOPA和贝叶斯网络进行定量风险分析,强调人的可靠性并倡导以人为中心的AI设计。

摘要:

数字技术极大地加速了过程工业的数字化转型,推动了新的工业应用,升级了生产系统,并提高了运营效率。相比之下,人类与人工智能(AI)之间的挑战和差距日益突出,而过程安全中的数字鸿沟正在加剧。本研究试图回答以下问题:(i)在过程安全背景下,AI是什么?(ii)在过程安全中,AI与人类有何不同?(iii)AI与人类如何在过程安全中协作?(iv)人机协作中存在哪些挑战和差距?(v)如何量化过程安全中人机协作的风险?研究采用了基于头脑风暴和文献综述的定性风险分析,以及基于保护层分析(LOPA)和贝叶斯网络(BN)的定量风险分析来进行探索和建模。在数字时代,应强调人的可靠性的重要性,而不是通常只注重提高AI的可靠性,并且需要推广过程安全中以人为中心的AI设计。

英文摘要:

Digital technologies have dramatically accelerated the digital transformation in process industries, boosted new industrial applications, upgraded the production system, and enhanced operational efficiency. In contrast, the challenges and gaps between human and artificial intelligence (AI) have become more and more prominent, whereas the digital divide in process safety is aggregating. The study attempts to address the following questions: (i)What is AI in the process safety context? (ii)What is the difference between AI and humans in process safety? (iii)How do AI and humans collaborate in process safety? (iv)What are the challenges and gaps in human-AI collaboration? (v)How to quantify the risk of human-AI collaboration in process safety? Qualitative risk analysis based on brainstorming and literature review, and quantitative risk analysis based on layer of protection analysis (LOPA) and Bayesian network (BN), were applied to explore and model. The importance of human reliability should be stressed in the digital age, not usually to increase the reliability of AI, and human-centered AI design in process safety needs to be propagated.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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