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机器利用数据行为构成著作权合理使用的经济分析

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未经权利人许可的数据挖掘或机器学习行为可能侵犯著作权人的多项权能.尽管目前市面上存在一些互联网平台与数据库,可供数据挖掘与机器学习者一站式批量获取作品,但若不免除数据挖掘与机器学习者事先寻求许可的法律义务,则他们仍会囿于高昂的交易成本,无法有效获取所需数据,这制约数字创新产品的开发.允许数据挖掘与机器学习者免费使用作品数据,可能实质损害著作权人的部分市场利益,但由此开发的数字创新产品可以为权利人带来其他市场收益,且社会自我调节机制能够消化很多市场损害,因此,颠覆性改进现有技术的数据挖掘和机器学习行为宜被认定为合理使用.不宜通过法定许可或"选择退出"合理使用机制来规制数据挖掘与机器学习行为.
Data mining or machine learning without permission may infringe upon multiple rights of copyright owners,such as right of reproduction,right to prepare derivative works,and right of information network dissemination.Although there are currently some internet platforms and databases available for data mining and machine learning,enabling users to obtain works in bulk,the failure of data miners and machine learners to seek prior permission still may lead to prohibitive transaction costs,hindering effective access to necessary data and constraining the development of digital innovation products.Allowing data miners and machine learners to freely use copyrighted materials may substantially harm copyright owners'market interests.However,the digital innovation products developed as a result may bring additional market benefits to copyright holders.Moreover,the self-regulating mechanism of society can mitigate many market harms.Therefore,disruptive improvements in machine learning and data mining that challenge existing technologies should be recognized as fair use.It is not advisable to regulate marching learning and data mining behaviors through statutory license or"opt-out"mechanisms for fair use.

artificial intelligencedata miningfair usestatutory license"opt-out"mechanisms

刘禹

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清华大学知识产权研究中心

人工智能 数据挖掘 合理使用 法定许可"选择退出"机制

2024

知识产权
中国知识产权研究会

知识产权

CSSCICHSSCD北大核心
影响因子:1.115
ISSN:1003-0476
年,卷(期):2024.(3)
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