mlsanityData to 14 Oct 2026

A Regulatory Placebo? The Systemic Failure of Mandatory GenAI Labeling

arXiv 2608.16470 ↗First posted 17 Aug 2026cs.CY cs.AIcited by 0

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Abstract (arXiv)

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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References · 6

  1. 2023A Watermark for Large Language Modelscited by 725
  2. 2023Can LLM-Generated Misinformation Be Detected?cited by 177
  3. 2023A Survey of Text Watermarking in the Era of Large Language Modelscited by 112
  4. 2022The Ethical Need for Watermarks in Machine-Generated Languagecited by 32
  5. 2024Transparent AI Disclosure Obligations: Who, What, When, Where, Why, Howcited by 17
  6. 2024De-mark: Watermark Removal in Large Language Modelscited by 14

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