信息资源管理学报2024,Vol.14Issue(5) :147-158.DOI:10.13365/j.jirm.2024.05.147

论生成式人工智能使用在先作品的版权困境与纾解路径

Research on the Copyright Dilemma and Solution Path of Generative Artificial Intelligence Using Previous Works

刘祖兵
信息资源管理学报2024,Vol.14Issue(5) :147-158.DOI:10.13365/j.jirm.2024.05.147

论生成式人工智能使用在先作品的版权困境与纾解路径

Research on the Copyright Dilemma and Solution Path of Generative Artificial Intelligence Using Previous Works

刘祖兵1
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作者信息

  • 1. 同济大学法学院互联网与人工智能法律研究中心,上海,200092
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摘要

生成式人工智能常态化爬取海量在先作品诱发侵权风险,长距离文本语义理解意欲掩盖侵权痕迹,开放式的跨域泛化推理为实施侵权提供技术便利.在作品数据投喂方面,生成式人工智能逾越合理使用制度的边界,或将使在先作品走向无保护或过度保护的极端;在生成内容可版权性方面,生成式人工智能凭借其生成内容的"广度"与"厚度"解耦著作权主体性,挑战现有独创性标准.重释适当引用制度和建立使用在先作品背书机制,应对合理使用制度适用难题;推动"作者中心主义"向"作品中心主义"横向过渡,使以人格权为出发点向财产权转向;建立基于可解释性的生成式人工智能独创性评估机制,重释独创性标准.

Abstract

The rapidly development and embedded applications of generative artificial intelligence pose challenges to the existing copyright system.Generative artificial intelligence normalizes the crawling of mas-sive amounts of prior work data,inducing infringement risks.Long distance text semantic understanding abil-ity is intended to cover up infringement traces,and open cross domain generalization reasoning ability pro-vides technical convenience for infringement.In terms of data feeding in works,generative artificial intelli-gence may cross the boundaries of fair use systems or lead to the extreme of unprotected or overprotected rights in previous works;In terms of copyright-ability of generated content,generative artificial intelligence decouples copyright subjectivity with its high-quality and massive generation ability,meeting the"minimum creative standards"and originality requirements.Propose to establish an endorsement system for the use of prior works to address the problem of rational use of algorithms;Promote the horizontal transition from"au-thor centrism"to"work centrism",and shift the authors rights law starting from personality rights to copy-right law starting from property rights;Establish an interpretable generative artificial intelligence originality evaluation mechanism and reinterpret originality standards.

关键词

生成式人工智能/在先作品/可版权性/主体性/独创性/背书机制

Key words

Generative artificial intelligence/Prior work data/Copyrightability/Subjectivity/Originality/Endorsement mechanism

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基金项目

教育部人文社科规划基金项目(21YJA820032)

上海市2022年度软科学研究项目(22692104400)

出版年

2024
信息资源管理学报
中国高校科技期刊研究会,武汉大学

信息资源管理学报

CSSCICHSSCD
影响因子:0.885
ISSN:2095-2171
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