监管安慰剂？强制生成式人工智能（GenAI）标签的系统性失败
A Regulatory Placebo? The Systemic Failure of Mandatory GenAI Labeling
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- University of Macau（澳门大学）
- Renmin University of China（中国人民大学）
- Waseda University（早稻田大学）
- Meiji University（明治大学）
机构由 AI 辅助整理，请以论文原文为准。
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中文总结 AI 辅助
本研究指出全球强制GenAI标签是象征性立法，因监管者认知局限成监管安慰剂，建议从身份标签治理转向内容治理以应对GenAI相关复杂问题。
中文摘要 AI 辅助
本研究考察全球强制生成式人工智能（GenAI）标签的趋势，认为其是由技术恐慌与机构反应触发的被动象征性立法形式。从技术角度看，本研究表明当前强制标签不仅造成实施困境，还可能阻碍AI技术的发展轨迹。随后系统分析该制度的三大主流理论分支：价值稀释理论、信息真实性理论与主动监管理论，发现它们是监管者理解现代技术逻辑时认知局限的产物。此类形式合规要求不仅成为监管安慰剂，还模糊了技术时代的真正法律需求，这对当前治理范式构成挑战，建议从身份标签治理转向内容治理，迫切需要解决与GenAI相关的复杂问题。
英文摘要
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.
