Google 申請駁回音樂人 AI 侵權訴訟，稱 YouTube 條款已授權使用上傳內容

WISECODE Take

This news reveals not just a simple terms of service dispute, but a significant gap often overlooked by business owners in the digital age: the tension between the “scope of content authorization” and “applications of emerging technologies.” Many businesses might mistakenly believe that once users agree to “terms of use,” platforms can do whatever they want with the content. However, when new usage scenarios (like AI model training) emerge, the discrepancy between legal interpretation and the original intent of authorization often ignites risks. I’d like to explain this using a “financial investment mandate” framework. Imagine you are an investor (content creator) entrusting funds (your song copyrights) to a fund manager (YouTube/Google), expecting them to operate according to agreed-upon uses (e.g., video playback, ad revenue sharing). If the fund manager, without explicit consent, invests your funds into a new, high-risk, and outside-the-original-mandate emerging market (e.g., using your songs to train a new AI model, which might affect your content’s future value or market position), even if a broad “power of attorney” was initially signed, it could still be deemed to have exceeded the original “investment mandate.” This kind of unauthorized “repurposing” is at the heart of such cases. For business owners, this represents both risks and opportunities. If you are an AI technology developer, using data without explicit authorization for model training is akin to navigating an intellectual property “minefield.” Once triggered, you could face substantial damages and reputational harm. Conversely, if you are a content creator or a company with significant intellectual property, this is an opportunity to re-evaluate the value of your assets and create new revenue streams through precise authorization. Zhidian suggests businesses take the following actions: 1. **Comprehensive Review**: Immediately review existing terms of service to ensure the “scope of authorization” and “purpose of use” for user-uploaded content explicitly cover emerging applications like AI training. 2. **Clear Data Sourcing Policy**: AI developers must establish a rigorous data source review mechanism to ensure all training data has legal, clear, and sufficiently broad authorization. 3. **Proactive Evaluation & Consultation**: Both content providers and AI developers should actively consult professional IP advisors to evaluate the risks and opportunities of their current authorization models. In the world of intellectual property, the devil in the details of terms determines whether your assets are a “golden goose for royalties” or an “infringement minefield.” Zhidian can help you clarify these complex legal relationships and provide forward-looking IP strategy planning and risk assessment for your business.