算法透明度与合法性的互动:个人数据保护与专利法视角

Liva Rudzite, Aleksei Kelli
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引用次数: 1

摘要

在欧盟,人工智能及其子领域机器学习已被指导为促进人类繁荣的政治优先事项之一。然而,由于其特点,例如“黑箱”问题,人工智能可能在现有的法律框架内构成挑战。本文重点分析了算法透明度在欧盟数据保护(向数据主体提供信息的义务)和专利法律框架“充分披露”标准两个领域的合法性,以提高有关该问题的法律清晰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Interaction Between Algorithmic Transparency and Legality: Personal Data Protection and Patent Law Perspectives
Artificial Intelligence and its sub-field Machine Learning in the European Union has been directed as one of the political priorities towards the augmentation of human prosperity. However, due to its characteristics, for instance, the “black-box” problem, AI may pose challenges within the existing legal framework. The article focuses on analysing the legality of algorithmic transparency in two fields in the EU- data protection (obligation to provide information to the data subject) and under the criteria of “sufficient disclosure” of the patent legal framework – to improve legal clarity concerning the issue.
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