核能
责任
核电站
损害赔偿
补偿(心理学)
软件部署
风险分析(工程)
侵权行为
过程(计算)
计算机科学
工程类
计算机安全
业务
法学
政治学
软件工程
财务
心理学
生态学
物理
核物理学
精神分析
生物
操作系统
作者
Ridoan Karim,Firdaus Muhammad‐Sukki
标识
DOI:10.1007/978-981-19-6778-8_27
摘要
The sheer magnitude of process parameters and interactions between the systems in a nuclear power plant's operation poses complications for operators. The operations became more challenging, especially during emergencies. Any recovery from an emergency relies heavily on modifying the system rapidly based on accessible data analysis. Artificial intelligence (AI) technology, working as expert guidance and quick access to a broad knowledge base, may resolve most of the complexities. Hence, experts believe that AI can be the expert system for operating a complex technology like the nuclear power plant. Nevertheless, AI deployment in the energy sector can also introduce several risks and challenges, including physical damage to the power plant. The existing nuclear liability laws and regulations promises a robust compensation packages for nuclear damages; nevertheless, the damage resulting from AI in nuclear power plant is still yet to be tested. Hence, this chapter particularly analyze whether the existing nuclear liability regimes and the tort law, possibly in combination with insurance and strict liability provisions, can constitute a sufficient nuclear damage claims or not.
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