Ritvars Purmalis
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引用次数: 0

摘要

虽然在欧洲联盟一级仍存在关于应采用何种已知民事责任模式来确定个人对人工智能驱动系统造成的损害的民事责任的争论,但应特别注意与人工智能驱动系统运行的“透明度”和“可解释性”有关的问题。本文的目的是简要介绍在人工智能驱动系统可用的输入(各种数据集)作为在其自主操作中得出特定结论的基础的方式之间建立因果关系的重要性,以及在最近法律政策更新的背景下此事的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cēloņsakarības konstatēšana mākslīgā intelekta darbībā
While there is still a debate at European Union level as to which of the known models of civil liability should be used to determine a person’s civil liability for damage caused by an artificial intelligence-driven system, particular attention should be directed at the issues relating to the “transparency” and “explainability” of the operation of artificial intelligence-driven system. The purpose of this article is to provide a brief insight into the importance of establishing the causal relationship between the way in which the inputs (various datasets) available for the artificial intelligence-driven system are used as a basis to reach a particular conclusion within its autonomous operation, and the importance of this matter within the context of recent legal policy updates.
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