活动回顾|吴雨桐:AI时代的权利保护与法律应对策略
NO.1
主讲人简介
吴雨桐
Wu Yutong
抖音集团抖音产品法务
负责支持抖音产品相关合规工作以及办理平台治理类诉讼案件。
Douyin Group, Douyin Products, Legal Department
Responsible for supporting Douyin’s product-related compliance efforts and handling platform governance-related litigation cases.
NO.2
讲座回顾
本次讲座，抖音集团产品法务部吴雨桐老师围绕人工智能时代的权利保护与法律挑战这一主题，结合自身在平台合规、风控及版权治理的一线实务经验，系统梳理了AI 产业发展脉络、应用场景与音乐行业变革，深入剖析了 AI 生成内容的版权争议、声音权益保护等核心法律问题与国内外典型判例，为在场师生带来了一堂兼具前沿性、专业性与实用性的产业法律课。
In this lecture, Teacher Wu from the Product Legal Department of Douyin Group, centering on the theme ofRights Protection and Legal Challenges in the AI Era, combined her front-line practical experience in platform compliance, risk control and copyright governance, systematically sorted out the development context, application scenarios of the AI industry and the transformation of the music industry, deeply analyzed the core legal issues such as copyright disputes of AI-generated content and sound rights protection, as well as typical domestic and foreign judicial cases, bringing a cutting-edge, professional and practical industrial law course to the teachers and students present.
吴老师首先从AI 产业三层金字塔结构（基础设施层、算法模型层、场景应用层）入手，解读了国内外 AI 技术发展差异、落地现状与商业模式，厘清了 AI 训练数据、生成内容、权利归属等核心法律边界。她强调，AI 已成为文化娱乐产业核心生产力，尤其在音乐创作、传播、消费全链路中，相关应用需在合法合规的授权框架下推进。
Starting from the three-tier pyramid structure of the AI industry (infrastructure layer, algorithm model layer, scenario application layer), Teacher Wu interpreted the development differences, implementation status and business models of AI technology at home and abroad, clarifying the core legal boundaries of AI training data, generated content and ownership of rights. She emphasized that AI has become the core productive force of the cultural and entertainment industry, especially in the whole chain of music creation, dissemination and consumption, and relevant applications must be promoted under a legal and compliant authorization framework.
在分析AI 时代音乐版权与法律挑战时，吴老师指出，当前行业存在训练数据授权不明、AI 生成物权属争议、AI 声音侵权频发、合理使用界定模糊等突出问题。她结合纽约时报诉OpenAI 案、Getty 图片版权侵权案、环球音乐等三大唱片公司诉 AI 音乐公司案、国内 AI 声音侵权首案、文生图版权第一案等典型判例，阐明了未经授权使用版权内容训练 AI、AI 克隆翻唱等行为的法律风险与责任认定，并详细讲解了 AI 音乐创作、平台内容审核、用户生成内容等场景的合规操作路径。
When analyzing the music copyright and legal challenges in the AI era, Teacher Wu pointed out that the current industry has prominent problems such asunclear authorization of training data,ownership disputes over AI-generated content,frequent AI sound infringements, andvague definition of fair use. She combined typical cases such as The New York Times v. OpenAI, Getty Images copyright infringement case, the three major record companies including Universal Music v. AI music companies, the first domestic AI sound infringement case, and the first text-to-image copyright case, clarified the legal risks and liability determination of using copyrighted content to train AI without authorization and AI cloning covers, and explained in detail the compliant operation paths of scenarios such as AI music creation, platform content review, and user-generated content.
吴老师还结合全球AI 治理规则与行业实践，重点解读了 AI 生成内容著作权认定、声音权等人格权保护、平台合规责任等核心规则，并引入 AI 幻觉责任认定、AI 音乐平台规则设计等前沿实务问题，展现了著作权法与人格权法在 AI 技术迭代中的适用困境与行业探索。她强调，平台与创作者需在技术创新、权利保护、用户诉求三者间寻找平衡，从数据授权、技术风控、协议约定等维度源头防控法律风险。
As a front-line legal expert deeply engaged in product compliance, platform governance and copyright risk control on the Douyin platform, Teacher Wu also focused on interpreting the core rules of copyright recognition of AI-generated content, protection of personality rights such as sound rights, and platform compliance responsibilities based on global AI governance rules and industry practices. She also introduced cutting-edge practical issues such as liability determination of AI hallucinations and AI music platform rule design, demonstrating the application dilemmas and industry exploration of copyright law and personality right law in the iteration of AI technology. She emphasized that platforms and creators should find a balance among technological innovation, rights protection and user demands, and prevent legal risks from the source through data authorization, technical risk control and agreement agreement.
在互动环节，吴老师就学生提出的AI 音乐版权归属、AI 音乐评测兼职风险、真人歌手权益保护、平台内部合规机制、AI 伦理边界等问题，结合实务经验与裁判规则，给予了清晰务实的解答。对于未来有志于投身音乐产业、传媒行业、互联网合规与版权管理工作的同学，她建议：第一，主动拥抱AI 技术，将其作为创作与工作的效率提升工具；第二，筑牢法律边界认知，明晰版权、声音权等核心权利的保护规则；第三，持续关注行业动态与司法判例，在实践中提升 AI 时代的合规与创作能力。
During the interactive session, Teacher Wu gave clear and practical answers to the questions raised by students such asownership of AI music copyright,part-time risk of AI music evaluation,rights protection of real singers,internal compliance mechanism of platforms, andAI ethical boundariesbased on practical experience and judicial rules. For students who aspire to engage in music industry, media industry, Internet compliance and copyright management in the future, she suggested: First, take the initiative to embrace AI technology and use it as a tool to improve efficiency in creation and work; second, build a solid awareness of legal boundaries and clarify the protection rules of core rights such as copyright and sound rights; third, keep an eye on industry trends and judicial cases, and improve compliance and creative capabilities in the AI era through practice.
本次讲座全面覆盖了AI 产业发展现状、核心法律争议、国内外司法判例、平台合规实践与行业未来方向，从技术原理到法律边界、从案例解析到实务建议，系统解答了 AI 时代音乐创作与版权保护的关键问题，厘清了训练数据使用、AI 生成内容权属、声音人格权保护、平台责任划分等长期困扰行业的痛点。
This lecture fully covered the development status of the AI industry, core legal disputes, domestic and foreign judicial cases, platform compliance practices and future industry directions. From technical principles to legal boundaries, from case analysis to practical suggestions, it systematically answered the key issues of music creation and copyright protection in the AI era, and clarified long-standing industry pain points such as training data usage, ownership of AI-generated content, protection of sound personality rights, and platform liability division.
技术的进步永不止步，法律的规范与权利的守护同样不可或缺。AI 并非版权的终点，而是创作与保护的新起点。唯有以法律为底线、以创新为动力、以尊重为前提，才能让 AI 真正赋能音乐产业与文化创作，让技术向善、让版权有序、让创作有光。
Technological progress is endless, and the regulation of law and the protection of rights are equally indispensable. AI is not the end of copyright, but a new starting point for creation and protection. Only by taking law as the bottom line, innovation as the driving force, and respect as the premise can AI truly empower the music industry and cultural creation, making technology beneficial, copyright orderly, and creation brilliant.