The proliferation of generative AI systems creates unprecedented opportunities for content creation while raising critical concerns about controllability, copyright infringement, and content provenance. Current generative models operate as "black boxes" with limited user control and lack built-in mechanisms to protect intellectual property or trace content origin. We propose a novel multi-agent framework that addresses these challenges through specialized agent roles and integrated watermarking. Our system orchestrates Director, Generator, Reviewer, Integration, and Protection agents to ensure user intent alignment while embedding digital provenance markers. We demonstrate feasibility through two case studies: creative content generation with iterative refinement and copyright protection for AI-generated art in commercial contexts. Preliminary feasibility evidence from prior work indicates up to 23\% improvement in semantic alignment and 95\% watermark recovery rates. This work contributes to responsible generative AI deployment, positioning multi-agent systems as a solution for trustworthy creative workflows in legal and commercial applications.

翻译：生成式人工智能系统的激增为内容创作带来了前所未有的机遇，同时也引发了关于可控性、版权侵权和内容溯源的关键担忧。当前的生成模型作为"黑箱"运行，用户控制有限，且缺乏保护知识产权或追踪内容来源的内置机制。我们提出了一种新颖的多智能体框架，通过专门的智能体角色和集成水印技术应对这些挑战。我们的系统协调导演、生成器、审阅器、集成和保护智能体，在嵌入数字溯源标记的同时确保用户意图对齐。我们通过两个案例研究证明了其可行性：具有迭代优化功能的创意内容生成，以及商业场景中AI生成艺术的版权保护。来自先前工作的初步可行性证据表明，语义对齐度最高可提升23%，水印恢复率达到95%。这项工作有助于负责任地部署生成式人工智能，将多智能体系统定位为法律和商业应用中可信创意工作流的解决方案。