Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption

• URL: http://arxiv.org/abs/2510.18333v1
• Date: Tue, 21 Oct 2025 06:34:51 GMT
• Title: Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption
• Authors: Yepeng Liu, Xuandong Zhao, Dawn Song, Gregory W. Wornell, Yuheng Bu,
• Abstract summary: We revisit three classes of watermarking through this lens.<n>emphLLM text watermarking offers modest provider benefit when framed solely as an anti-misuse tool.<n>emphIn-context watermarking (ICW) is tailored for trusted parties, such as conference organizers or educators.
• Score: 94.887133335656
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Despite progress in watermarking algorithms for large language models (LLMs), real-world deployment remains limited. We argue that this gap stems from misaligned incentives among LLM providers, platforms, and end users, which manifest as four key barriers: competitive risk, detection-tool governance, robustness concerns and attribution issues. We revisit three classes of watermarking through this lens. \emph{Model watermarking} naturally aligns with LLM provider interests, yet faces new challenges in open-source ecosystems. \emph{LLM text watermarking} offers modest provider benefit when framed solely as an anti-misuse tool, but can gain traction in narrowly scoped settings such as dataset de-contamination or user-controlled provenance. \emph{In-context watermarking} (ICW) is tailored for trusted parties, such as conference organizers or educators, who embed hidden watermarking instructions into documents. If a dishonest reviewer or student submits this text to an LLM, the output carries a detectable watermark indicating misuse. This setup aligns incentives: users experience no quality loss, trusted parties gain a detection tool, and LLM providers remain neutral by simply following watermark instructions. We advocate for a broader exploration of incentive-aligned methods, with ICW as an example, in domains where trusted parties need reliable tools to detect misuse. More broadly, we distill design principles for incentive-aligned, domain-specific watermarking and outline future research directions. Our position is that the practical adoption of LLM watermarking requires aligning stakeholder incentives in targeted application domains and fostering active community engagement.

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