[目的/意义] 在对美国、英国、欧盟、日本、德国等地区或国家对TDM行为的立法或司法应对进行比较分析基础上，提出我国TDM合理使用规则的设计思路。[方法/过程] 首先分析人工智能时代文本与数据挖掘的技术特征及其挑战，介绍出版商和图书馆有关TDM合理使用的立场分歧，之后在对代表性国家有关TDM合理使用法律应对机制进行比较分析基础上，从TDM例外的主体、客体、目的、行为及其他条件等方面，论证我国TDM合理使用规则的具体内容。[结果/结论] 任何机构或个人基于科学研究或其他合理目的对任何作品以复制、提取、改编或有限传播方式进行文本和数据挖掘构成合理使用，但利用非合法来源作品须支付合理的使用费。
[Purpose/significance] Based on the comparative analysis of the legislative or judicial responses to TDM behavior in the United States, the United Kingdom, the European Union, Japan and Germany, this paper puts forward the design idea of fair use rules of TDM in China. [Method/process] Firstly, the technical characteristics and challenges of text and data mining in the era of artificial intelligence were analyzed, and the differences between publishers and libraries on the fair use of TDM were introduced. Then, based on the comparative analysis of the legal response mechanism of representative countries on the fair use of TDM, from the subject, object, purpose, behavior and other conditions of TDM exception, this paper demonstrated the specific content of TDM fair use rule in China. [Result/conclusion] Text and data mining by reproduction, extraction, adaptation or limited dissemination of any work by any institution or individual for scientific research or other reasonable purposes constitutes fair use, but reasonable royalties shall be paid for the use of works from illegal sources.
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