强制AI生成内容标注形同虚设，反而阻碍技术发展。
A Regulatory Placebo? The Systemic Failure of Mandatory GenAI Labeling
- 分析强制标注的三大理论基础，揭示其源于监管认知局限。
- 指出当前标注制度引发实施困境，抑制AI技术演进。
- 建议转向内容治理模式，应对生成式AI深层挑战。
本文考察全球范围内强制标注生成式人工智能（GenAI）的现象，认为这是一种由技术恐慌和机构反应催生的象征性立法。从技术角度看，当前强制标注不仅造成实施难题，还可能阻碍人工智能技术的演化路径。研究系统分析了该规制体系下的三大主流理论——价值稀释论、信息真实性论与主动监管论，发现它们均源于监管者对现代科技逻辑的认知局限。此类形式化合规要求实为监管安慰剂，反而掩盖了技术时代真正的法律需求。这挑战了现有治理范式，呼吁从身份标签治理转向内容治理，亟需应对生成式AI带来的复杂问题。
原文摘要 · Abstract (English)
We examine the worldwide trend of mandatory labeling of generative artificial intelligence(GenAI) as a reactive, symbolic form of legislation triggered by technological panic and institutional responses. From a technical perspective, this study demonstrates that current mandatory labeling not only creates implementation dilemmas but also risks hindering the evolutionary trajectory of AI technology. We then systematically analyze the three dominant theoretical strands of this regime, the value dilution theory, the information authenticity theory, and the proactive regulation theory, and find that they are products of regulators' cognitive limitations in understanding the logic of modern technology. Not only do such formalistic compliance requirements become a regulatory placebo, but they also obscure the genuine legal demands of the technological era. This challenges the current governance paradigm and suggests a shift from identity-label governance to content governance, with an urgent need to address the complex problems associated with GenAI.
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