Watermarking Without Standards Is Not AI Governance

• URL: http://arxiv.org/abs/2505.23814v1
• Date: Tue, 27 May 2025 18:10:04 GMT
• Title: Watermarking Without Standards Is Not AI Governance
• Authors: Alexander Nemecek, Yuzhou Jiang, Erman Ayday,
• Abstract summary: We argue that current implementations risk serving as symbolic compliance rather than delivering effective oversight.<n>We propose a three-layer framework encompassing technical standards, audit infrastructure, and enforcement mechanisms.
• Score: 46.71493672772134
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Watermarking has emerged as a leading technical proposal for attributing generative AI content and is increasingly cited in global governance frameworks. This paper argues that current implementations risk serving as symbolic compliance rather than delivering effective oversight. We identify a growing gap between regulatory expectations and the technical limitations of existing watermarking schemes. Through analysis of policy proposals and industry practices, we show how incentive structures disincentivize robust, auditable deployments. To realign watermarking with governance goals, we propose a three-layer framework encompassing technical standards, audit infrastructure, and enforcement mechanisms. Without enforceable requirements and independent verification, watermarking will remain inadequate for accountability and ultimately undermine broader efforts in AI safety and regulation.

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