字节Seedance 2.0下线真人素材背后：视频生成模型驶向版权深水区

Core Viewpoint - ByteDance's Seedance 2.0 is hailed as a groundbreaking video generation model, marking the end of the "childhood era" of AIGC, but it also raises significant concerns regarding compliance and legal risks associated with AI-generated content [1][2]. Group 1: Technology and Innovation - Seedance 2.0 utilizes a "dual-branch diffusion transformer" architecture, achieving breakthroughs in audio-visual alignment and multi-shot narrative coherence, positioning it as a milestone product in the industry [2]. - The model's capabilities significantly reduce video production costs, enabling ordinary users to create high-quality content, with potential applications in short videos, advertising, and film production [6]. - The introduction of Seedance 2.0 has led to a surge in stock prices for companies in the film and media sector, reflecting high market expectations for AI video generation technology [6]. Group 2: Compliance and Legal Risks - The development of AI video models relies heavily on vast amounts of publicly available data, raising concerns about unauthorized use of copyrighted material [2][5]. - The complexity of video as a multi-rights entity, involving images, audio, and likeness, complicates the legal landscape, making it difficult for ordinary users to discern authenticity [2]. - ByteDance has implemented compliance measures, such as restricting the use of real human images and requiring live authentication for generating videos of real people [3][4]. Group 3: Industry Challenges and Solutions - The industry faces common challenges in balancing technological innovation with copyright protection and data compliance, necessitating a collaborative approach to address these issues [4][8]. - Proposed solutions include establishing a comprehensive governance framework for video generation models, focusing on compliance at all stages of content creation [8]. - The current regulatory framework, while providing a foundational structure, lacks specific guidelines for compliance related to audiovisual training data and content generation [5].