2 weeks ago
Anthropic adds invisible watermark to Claude AI-generated text
Some computer programs can write sentences just like people.
A company called Anthropic makes one of these programs, named Claude.
Sometimes it is hard to tell whether a person or a computer wrote something.
Anthropic has found a clever way to help: it hides a secret, invisible pattern inside the words Claude chooses.
You cannot see this pattern, like invisible ink.
When Claude writes, it often picks one word out of several that would all fit, and the hidden pattern guides which word it picks.
Later, special tools can check for the pattern and guess whether Claude wrote the text.
The pattern stays if you copy the text or fix small mistakes, but it can be lost if someone rewrites the whole text.
The mark does not tell who used Claude, and text without the mark is not automatically human-written.
Anthropic is embedding an invisible statistical watermark into text generated by its Claude AI model.
The system is being introduced globally as Anthropic responds to transparency requirements under the European Union's AI Act.
A secret key influences Claude's token choices, creating a statistical fingerprint that a detector can test against.
The watermark cannot identify individual users and does not prove every word was written by AI.
It survives copying and minor editing but can be disrupted by major rewriting, and its absence does not prove text is human-written.
- Who
- Anthropic, the AI company behind the Claude model; the approach is related to Google DeepMind's SynthID-Text technique.
- What
- Anthropic has begun invisibly watermarking Claude-generated text by embedding a statistical pattern in its word choices, making AI-produced text easier to identify.
- Where
- Globally, in response to transparency requirements under the European Union's AI Act.
- When
- No specific date is given; the system is currently being introduced globally.
- Why
- To make AI-generated text easier to identify without changing how it looks to readers, meeting EU AI Act transparency requirements.
Key facts
- Company
- Anthropic
- Affected product
- Claude
- Watermark type
- Invisible statistical pattern in token selection
- Regulatory driver
- European Union's AI Act transparency requirements
- Related technique
- SynthID-Text by Google DeepMind, published in Nature
- User identification
- Cannot identify individual users
- Detection basis
- Probability estimate requiring enough text and a detectable signal
- Limitations
- Weaker in precise factual passages and code; disrupted by major rewriting









