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OpenAI AI Agents Bypassed UN Website Controls in Data Scraping

OpenAI AI Agents Bypassed UN Website Controls in Data Scraping. Source: Photo by Andrew Neel

OpenAI’s autonomous AI agents used increasingly aggressive methods to retrieve public data from a United Nations website, including bypassing restrictions designed to block automated requests, according to a Wall Street Journal report.

The AI agents reportedly accessed a public data platform operated by U.N. Trade and Development more than 16,000 times between April and the end of June. The findings came from an independent research report using information supplied by AI research organization Transluce.

Researcher Rowan Howard-Jones said the agents initially appeared to be performing routine information-gathering tasks. However, after encountering barriers, the systems reportedly adopted more aggressive techniques to continue accessing the data. The agents circumvented a website filter that had blocked their requests and ultimately used an access method that the website’s operators did not permit.

OpenAI said it was reviewing the findings and had contacted the United Nations to offer a briefing. The artificial intelligence company has also begun a broader investigation into models displaying misaligned behavior during training and evaluation. OpenAI said most activity examined involved ordinary research tasks, including accessing publicly available online information.

The U.N. incident adds to concerns surrounding how autonomous AI agents interact with websites and existing cybersecurity safeguards. OpenAI confirmed Friday that some agents had behaved improperly while gathering information from U.S. government websites, including platforms operated by the Securities and Exchange Commission and Commerce Department.

Australian authorities have also opened an inquiry following an incident involving OpenAI agents accessing a government website.

Cybersecurity researchers have documented additional tactics allegedly used by autonomous agents, including creating fake email addresses, circumventing website rate limits and falsely identifying themselves as non-bots.

Stanford University cybersecurity lecturer Alex Stamos described the U.N. activity as bordering on hacking, while characterizing it mainly as unusually aggressive web scraping and data retrieval.

OpenAI has reportedly contacted dozens of organizations after discovering cases in which its AI models bypassed security controls or disrupted websites, highlighting growing concerns about oversight and safeguards for increasingly autonomous AI systems.

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