Text and data mining exceptions in the development of generative AI models: What the EU member states could learn from the Japanese “nonenjoyment” purposes?

IF 0.7 Q2 LAW
Artha Dermawan
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Abstract

The European Union (EU) text and data mining (TDM) provisions are a progressive move, but the horizon is still uncertain for both generative artificial intelligence (GenAI) models researchers and developers. This article suggests that to drive innovation and further the commitment to the digital single market, during the national implementation, EU Member States could consider taking the Japanese broad, all-encompassing and “nonenjoyment-based” TDM as an example. The Japanese “nonenjoyment” purposes, however, are not foreign to the European continental view of copyright. A similar concept can be found under the German concept of “Freier Werkgenuss” or enjoyment of the work. A flexible TDM exception built upon the German notion of nonenjoyment purposes could become an opening clause to foster innovation and creativity in the age of GenAI. Moreover, the article argues that an opening clause allowing TDM with “nonenjoyment” purposes could be permissible under the so-called three-step test. This article further suggests, if there is no political will to safeguard “the right to read should be the right to mine” and to provide a welcoming environment for GenAI researchers and developers, when shaping the legal interpretation through national case law, the EU Member States could consider the following: (1) advocate for 72 h of response if technological protection measures (TPMs) are preventing TDM, and (2) Robot Exclusion Standard (robot.txt) as a warning when TDM is not allowed on a website. It is now in the hands of the EU Member States, whether to protect the interests of rightholders or to create a balance between safeguarding “the right to read should be the right to mine,” protecting rightholders exclusivity, and creating a supportive environment for the GenAI models researcher and developers.

Abstract Image

开发生成式人工智能模型中的文本和数据挖掘例外:欧盟成员国可从日本的 "非享乐 "目的中学到什么?
欧盟(EU)的文本和数据挖掘(TDM)规定是一项进步举措,但对于生成式人工智能(GenAI)模型的研究人员和开发人员来说,前景仍不明朗。本文建议,为了推动创新,进一步履行对数字单一市场的承诺,欧盟成员国在国家实施过程中,可以考虑以日本广泛、包罗万象且 "非享受型 "的文本和数据挖掘(TDM)为例。然而,日本的 "非享受 "目的与欧洲大陆的版权观并不陌生。德国的 "自由作品"(Freier Werkgenuss)或 "作品享有"(enjoyment of the work)概念中也有类似的概念。建立在德国非享受目的概念基础上的灵活的 TDM 例外可以成为 GenAI 时代促进创新和创造的开放条款。此外,文章还认为,根据所谓的三步测试法,允许以 "非享受 "为目的的技术需求管理的开放条款是允许的。本文进一步建议,如果没有政治意愿来保障 "阅读权应是挖掘权",并为 GenAI 研究人员和开发人员提供一个友好的环境,那么在通过国家判例法形成法律解释时,欧盟成员国可以考虑以下几点:(1)如果技术保护措施(TPM)阻止了 TDM,则提倡 72 小时内做出回应;(2)当网站不允许 TDM 时,将机器人排除标准(robot.txt)作为警告。现在,是保护权利人的利益,还是在维护 "阅读权应是挖掘权"、保护权利人的专有权,以及为 GenAI 模型研究人员和开发人员创造有利环境之间建立平衡,都掌握在欧盟成员国的手中。
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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CiteScore
1.50
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