OpenAI has developed a new method designed to forecast the risks of its artificial intelligence systems before they are released to the public, according to BankInfoSecurity.
The reported aim is to spot potential problems ahead of deployment — the stage at which an AI model is put into real-world use — rather than discovering them only after a product is already in users' hands. In other words, the approach is meant to act as an early-warning system, flagging concerns before a model ships.
Details beyond the existence of the method are limited in the available reporting. BankInfoSecurity frames it as a new OpenAI technique focused specifically on anticipating risk prior to release.
Why this matters: AI systems are now being woven into everyday tools, from search to customer service to software development, and their failures can be hard to predict and costly to fix once they are live. A reliable way to estimate risks in advance could help companies and regulators catch harmful behavior earlier, and signals that one of the industry's most prominent developers is investing in safety measures that come before launch rather than after.