Technical Aspects of Artificial Intelligence: An Understanding from an Intellectual Property Law Perspective

Josef Drexl, Reto M. Hilty, Francisco Beneke, Luc Desaunettes, Michèle Finck, Jure Globočnik, Begoña González Otero, Jörg Hoffmann, Leonard Hollander, Daria Kim, Heiko Richter, Stefan Scheuerer, Peter R. Slowinski, Jannick Thonemann
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引用次数: 16

Abstract

The present Q&A paper aims at providing an overview of artificial intelligence with a special focus on machine learning as a currently predominant subfield thereof. Machine learning-based applications have been discussed intensely in legal scholarship, including in the field of intellectual property law, while many technical aspects remain ambiguous and often cause confusion. This text was drafted by the Research Group on the Regulation of the Digital Economy of the Max Planck Institute for Innovation and Competition in the pursuit of understanding the fundamental characteristics of artificial intelligence, and machine learning in particular, that could potentially have an impact on intellectual property law. As a background paper, it provides the technological basis for the Group’s ongoing research relating thereto. The current version summarises insights gained from background literature research, interviews with practitioners and a workshop conducted in June 2019 in which experts in the field of artificial intelligence participated.
人工智能的技术层面:知识产权法视角下的理解
本问答论文旨在提供人工智能的概述,特别关注机器学习作为其当前主要的子领域。基于机器学习的应用已经在包括知识产权法领域在内的法律学术领域进行了激烈的讨论,而许多技术方面仍然含糊不清,经常引起混乱。本文由马克斯普朗克创新与竞争研究所数字经济监管研究小组起草,旨在了解可能对知识产权法产生影响的人工智能,特别是机器学习的基本特征。作为一份背景文件,它为集团正在进行的有关研究提供了技术基础。当前版本总结了从背景文献研究、对从业者的采访以及2019年6月举行的人工智能领域专家参加的研讨会中获得的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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