Navigating Copyright Risk and Governance Challenges in Artificial Intelligence Development: A Case Study From China

IF 1.7 4区经济学 Q3 DEVELOPMENT STUDIES

Journal of International Development Pub Date : 2025-06-25 DOI:10.1002/jid.4007

Jian Liu, Liping Shen, Weihua Huang

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引用次数: 0

Abstract

The advancement of artificial intelligence (AI) poses significant challenges regarding copyright risk and governance. This research seeks to examine the copyright risks and governance challenges associated with AI development in China. This research employed a convergent parallel mixed-methods design, integrating structured surveys (n = 461) and semistructured interviews (n = 78) targeting AI developers, legal experts, regulators and copyright holders in China. China was selected as the focus of this study due to its rapid advancements in AI development, evolving regulatory landscape and growing global influence in shaping digital governance norms. Quantitative data were analysed using the Statistical Package for the Social Sciences (SPSS) software for descriptive and inferential statistics, while qualitative data underwent thematic analysis using NVivo software. The findings showed that AI-powered copyright detection systems play an important role in ensuring fair compensation and protecting intellectual property rights. This study of copyright risk and governance challenges inherent in AI creation contributes novel insight by analysing collaborative governance (CG) in AI accessibility, AI copyright detection to ensure fair compensation for content creators, integrating copyright in responsible AI development and blockchain-based copyright management. The study recommends that clear copyright regulations and CG mechanisms address the issues of AI creation and emphasize proactive measures to reduce risks, promote innovation and uphold ethical and responsible development in the evolving landscape of AI.

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人工智能发展中的版权风险和治理挑战：以中国为例

人工智能（AI）的进步对版权风险和治理提出了重大挑战。本研究旨在研究与中国人工智能发展相关的版权风险和治理挑战。本研究采用融合并行混合方法设计，结合结构化调查（n = 461）和半结构化访谈（n = 78），针对中国的人工智能开发者、法律专家、监管机构和版权所有者。之所以选择中国作为本研究的重点，是因为中国在人工智能发展方面取得了快速进展，监管格局不断变化，在塑造数字治理规范方面的全球影响力日益增强。定量数据使用社会科学统计软件包（SPSS）软件进行描述性和推断性统计，而定性数据使用NVivo软件进行专题分析。研究结果表明，人工智能驱动的版权检测系统在确保公平补偿和保护知识产权方面发挥着重要作用。这项对人工智能创作中固有的版权风险和治理挑战的研究，通过分析人工智能可访问性中的协作治理（CG）、人工智能版权检测以确保对内容创作者的公平补偿、将版权整合到负责任的人工智能开发和基于区块链的版权管理中，贡献了新的见解。该研究建议，明确的版权法规和CG机制可以解决人工智能创造的问题，并强调在不断变化的人工智能环境中采取主动措施降低风险，促进创新，维护道德和负责任的发展。

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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来源期刊

Journal of International Development DEVELOPMENT STUDIES-

CiteScore

2.40

自引率

0.00%

发文量

109

期刊介绍： The Journal aims to publish the best research on international development issues in a form that is accessible to practitioners and policy-makers as well as to an academic audience. The main focus is on the social sciences - economics, politics, international relations, sociology and anthropology, as well as development studies - but we also welcome articles that blend the natural and social sciences in addressing the challenges for development. The Journal does not represent any particular school, analytical technique or methodological approach, but aims to publish high quality contributions to ideas, frameworks, policy and practice, including in transitional countries and underdeveloped areas of the Global North as well as the Global South.