{"id":40835,"date":"2026-08-17T22:27:10","date_gmt":"2026-08-17T22:27:10","guid":{"rendered":"https:\/\/futureknowledge.in\/?p=40835"},"modified":"2026-08-17T22:27:10","modified_gmt":"2026-08-17T22:27:10","slug":"anthropics-new-invisible-watermark-marks-content-generated-by-ai-chatbot-claude","status":"publish","type":"post","link":"https:\/\/futureknowledge.in\/?p=40835","title":{"rendered":"Anthropic&#039;s new invisible watermark marks content generated by AI chatbot Claude"},"content":{"rendered":"<p>NPR&#039;s Michel Martin speaks with Fortune Magazine AI reporter Beatrice Nolan about the invisible watermark embedded in anything new models of Anthropic&#039;s AI assistant Claude processes.<\/p>\n<p>Anthropic is adding an invisible watermark to new models of its AI assistant Claude. The change brings Claude into compliance with the European Union&#039;s AI Act. It will be applied worldwide. Here to explain how this will work is Beatrice Nolan. She covers AI for Fortune Magazine. Good morning.<\/p>\n<p>MARTIN: So a lot of times, when I &#8211; if I get an early release of a film that I need to watch in order to prepare for an interview, it&#039;ll have a watermark. So I think of it as something that goes over a picture. Like, how does it work when we&#039;re talking about text that an AI chatbot is generating?<\/p>\n<p>NOLAN: Yeah. It&#039;s interesting &#039;cause AI-generated text has been traditionally pretty hard to watermark, especially comparatively to images. Most AI-generated or AI-modified images already carry a type of watermark. Previously, the best we&#039;ve had for text is these kind of probability checkers that make an assessment on how likely something is to be AI-generated based on style and word choice.<\/p>\n<p>But what Anthropic is introducing is a little different. They explained over the weekend how it&#039;s going to work. It&#039;s essentially adding an invisible mark. And the way it does this is when AI writes a sentence, it&#039;s not just spitting out words. It&#039;s making a tiny decision based on pattern prediction after every single word about what word comes next. A lot of the time, there are several words that could work equally well. Like, if you think of a sentence like &#8211; the weather today was cold and &#8211; the AI could say gray or it could say overcast. Either works. Whenever the AI makes a decision like this, Anthropic is going to be adding a mark. And anyone with Anthropic&#039;s tool to identify this can see if Claude was involved in the text.<\/p>\n<p>MARTIN: Interesting. So can it be erased?<\/p>\n<p>NOLAN: It&#039;s not clear yet because they haven&#039;t really released the details of how the tool is going to check. Guys, essentially, there&#039;s a theory that you could probably get rid of it if you&#039;re heavily editing the text. But, like, a light edit of the text probably wouldn&#039;t get rid of it.<\/p>\n<p>MARTIN: So is this happening because of the EU law?<\/p>\n<p>NOLAN: Yes. This is happening because of the EU&#039;s AI Act coming into force. It came into force on August 2. This requires AI companies to mark AI-generated or edited content in a way that other systems can identify. I mean, notably, other companies, including OpenAI, Meta, Google, Microsoft, have signed this code of conduct, so they will likely be introducing similar watermarks as well.<\/p>\n<p>MARTIN: But this is the first we&#039;re hearing of this with Anthropic. You do expect the other companies to follow.<\/p>\n<p>NOLAN: Yes. To be compliant with the EU AI Act, they&#039;ll probably likely have to do something similar. The only company that hasn&#039;t signed the code of conduct is SpaceX AI, which makes the AI chatbot Grok. So we&#039;ll probably be seeing a lot more of this. Anthropic&#039;s just the first to kind of lay out exactly how they&#039;re going to go about it.<\/p>\n<p>MARTIN: So the supporters of the EU&#039;s AI Act said they wanted more protections from harm. They wanted greater guarantees of honesty and transparency. Do you have a sense yet &#8211; I understand this is very new &#8211; that they are satisfied by Anthropic&#039;s approach?<\/p>\n<p>NOLAN: Yeah. I mean, the EU AI&#039;s transparency rules are just kind of built around that idea. Like, if something is AI-written or AI-altered, people should be able to find out. This is, like, worrying people. As AI content gets harder to spot, it gets easier to pass off as human work. So it&#039;s a bit too early to see if people are satisfied by it until we get to see the results of it. But it seems like it is going to work on a lot of stuff, so I would imagine so.<\/p>\n<p>MARTIN: That&#039;s Beatrice Nolan. She covers artificial intelligence for Fortune Magazine. Thank you so much.<\/p>\n<p>Copyright \u00a9 2026 NPR.  All rights reserved.  Visit our website terms of use and permissions pages at www.npr.org for further information.<\/p>\n<p><em>Source: <a href='https:\/\/www.npr.org\/2026\/08\/17\/nx-s1-5928211\/anthropics-new-invisible-watermark-marks-content-generated-by-ai-chatbot-claude' target='_blank'>Read the original article on www.npr.org<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>NPR&#039;s Michel Martin speaks with Fortune Magazine AI reporter Beatrice Nolan about the invisible watermark embedded in anything new models of Anthropic&#039;s AI assistant Claude processes. Anthropic is adding an invisible watermark to new models of its AI assistant Claude. The change brings Claude into compliance with the European Union&#039;s AI Act. It will be [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":40836,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,3],"tags":[25,30,35],"class_list":["post-40835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-share-suggestions","category-technology","tag-impact-msft","tag-signal-intraday","tag-stage-stage-3"],"_links":{"self":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts\/40835","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=40835"}],"version-history":[{"count":0,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts\/40835\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/media\/40836"}],"wp:attachment":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=40835"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=40835"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=40835"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}