Skip to main content

OpenAI To Watermark ChatGPT and Codex Text in EU



OpenAI is now looking to expand on its existing strategy for spotting AI-generated content by incorporating text watermarking for eligible ChatGPT and Codex outputs across the European Union. OpenAI says it is going to start the process of deployment within the coming weeks to meet the necessary demands of the EU AI Act.



Unlike a visible label, the watermark will be an invisible statistical signal built into text as it is generated. OpenAI says the system is designed to help determine whether a piece of text was likely produced by one of its models. The company, however, says the technology has clear limits and should not be treated as proof of who created a piece of writing.



How OpenAI’s Text Watermark Works


OpenAI’s text watermark is designed to answer a relatively narrow question: whether text was likely generated by an OpenAI model. The signal is embedded into the text during generation and does not add special characters, visible marks, or unusual formatting. According to OpenAI, testing has so far shown that the watermark does not affect the speed or capabilities of its models, or noticeably change how their responses read.



The system is different from a digital signature that could identify a particular user. OpenAI says the watermark does not reveal who originally wrote the text, who owns it, or which account, organization, conversation, or prompt was involved. For API customers, text watermarking is already available for select models worldwide.



Rewriting Can Remove the Watermark


OpenAI also acknowledges that text watermarking is not a perfect way to detect AI-generated writing. The company says the watermark can be difficult to identify in shorter pieces of text. More substantially, rewriting or translating the content can completely remove the statistical signal.



This implies that there will be times when it won’t be easy for the detector to identify if text was initially created by an OpenAI model, especially if the text has undergone extensive editing after generation. For this reason, the technology should be considered more as a provenance indicator rather than an AI detector. If a positive reading is achieved, it might imply that the text was initially created by an OpenAI model.



OpenAI Keeps Detector Access Limited


OpenAI is currently limiting access to its text watermark detector to approved researchers. The company said researchers will help evaluate how well the system works and identify ways to improve it. OpenAI described text watermarking as an ongoing area of research rather than a finished technology.



The company plans to continue testing the system and gathering feedback from users, developers, policymakers, and researchers. The EU rollout comes as regulators and technology companies look for ways to make AI-generated content easier to identify. OpenAI’s approach adds text to its existing provenance efforts for images and audio.



For ChatGPT and Codex users in the EU, the change means eligible generated text will carry an invisible signal designed to provide information about its likely origin. However, OpenAI’s own explanation makes clear that the signal cannot identify the person behind the text and can be removed through certain forms of editing or translation.



https://www.cryptobreaking.com/openai-to-watermark-chatgpt-and/?utm_source=blogger%20&utm_medium=social_auto&utm_campaign=OpenAI%20To%20Watermark%20ChatGPT%20and%20Codex%20Text%20in%20EU%20

Comments

Popular posts from this blog

Mastercard Launches AI Agent Pay System With Ripple and Solana Help

Mastercard has launched Agent Pay for Machines, a payments system built for autonomous software agents. The service allows AI agents to send and receive payments without direct human action. It brings Ripple, Coinbase, and Solana Foundation into Mastercard’s push for automated digital commerce. Ripple Brings XRPL and RLUSD to Mastercard’s Agent Pay System Mastercard introduced Agent Pay for Machines on June 10 as a tool for machine-led payments. The system targets high-volume and low-value transactions across business and consumer use cases. It also supports automated settlement between software agents and connected machines. Ripple will support the system through the XRP Ledger and its RLUSD stablecoin. The company said that settlement will become more important as automated commerce grows. It also sees blockchain rails as useful for fast and rule-based payments. RippleX senior vice president Markus Infanger said XRPL and RLUSD support enterprise-grade agent payments. He said the tool...

Top Cryptocurrencies to Watch: BTC, ETH, BNB, XRP, Solana, Dogecoin & More

Market Analysis and Price Predictions for Key Cryptocurrencies Recent market dynamics reveal a cautious sentiment across the cryptocurrency landscape, with Bitcoin struggling to maintain levels above $90,000 and many major altcoins facing downward pressure. Indicators point toward reduced participation from both institutional and retail investors, raising concerns about a potential consolidation phase after notable gains earlier in the year. Bitcoin has fallen below $87,000, reflecting waning demand at higher price points. Institutional fund flows into BTC and ETH ETFs have turned negative, indicating a period of subdued market activity. Active addresses and Binance deposit/withdrawal activities are at annual lows, suggesting market indecision. Most leading altcoins are approaching support levels, with some poised for potential breakdowns. Tickers mentioned: Bitcoin, Ethereum, Binance Coin, XRP, Solana, Dogecoin, Cardano, Bitcoin Cash, Chainlink, Hyperliquid Sentiment: Neutral to Sli...

Coinbase's x402 launches AI agents app store for payments

Coinbase-backed x402 has unveiled Agentic.market, a dedicated marketplace aimed at increasing the usefulness of AI agents by aggregating thousands of apps and services that agents can access without any API keys. The rollout positions the platform as a central hub for agents to discover, evaluate, and deploy capabilities across a standardized payments layer. Coinbase product lead Nick Prince described Agentic.market in a video posted on X as a storefront for discovering, comparing, and using x402 services. The marketplace is designed to give both humans and their AI agents access to a wide range of tools—from data feeds to consumer apps—without the friction of managing API credentials. A storefront for discovering, comparing, and using x402 services. Thousands of services. Zero API keys. Powered by x402. Prince added that the market offers a web interface for humans to browse and assess services, alongside a programming layer that lets AI agents autonomously search, filter, and integra...