Text Watermarking for Non-Academics
Summary
The article explains text watermarking for AI-generated text, detailing how a statistical signal can be embedded in plain text via token selection and how detectors identify it. It covers robustness to editing, detection workflow, and the trade-offs with output quality, and discusses implications for provenance and authorship.