Merging or plagiarizing? The role of originality and derivative works in AI-aimed news production

Javier Díaz Noci
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引用次数: 3

Abstract

The emergence of artificial intelligence systems applied to news production raises a series of legal questions that we examine in this short article. The central concept is, in our opinion, that of originality and creativity, legal requirements for attributing authorship and setting in motion the mechanisms of legal protection for a work, be it simple or collaborative, or even composite. The type of work that raises most questions is the derivative work, obtained from the transformation of pre-existing work(s), whose rights of authorship and economic exploitation must be respected at all times. The practices of learning systems based on artificial intelligence, which explicitly recognise that they rely on a wide variety of works protected by copyright, pose many doubts, and are not clearly able to benefit from the fair use exception, which, moreover, is only applicable to works produced in Common law jurisdictions, but not in other countries with an authorial system of intellectual property protection.
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合并还是抄袭?原创和衍生作品在人工智能新闻制作中的作用
应用于新闻制作的人工智能系统的出现提出了一系列法律问题,我们将在这篇短文中对此进行研究。在我们看来,核心概念是独创性和创造性,赋予作者身份的法律要求,以及启动作品的法律保护机制,无论是简单的还是合作的,甚至是复合的。引起大多数问题的作品类型是从已有作品的转化中获得的衍生作品,其作者权和经济剥削权必须始终得到尊重。基于人工智能的学习系统明确承认它们依赖于受版权保护的各种作品,这种做法引起了许多质疑,而且显然无法从合理使用例外中受益,此外,合理使用例外仅适用于在普通法管辖区生产的作品,但在其他拥有知识产权保护授权制度的国家却没有。
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来源期刊
自引率
0.00%
发文量
7
审稿时长
4 weeks
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