OpenAI researchers want to predict how often AI models will fail before launch

OpenAI researchers have proposed a new method to predict potential errors that AI models may encounter post-launch. This approach aims to address gaps left by traditional safety testing, enhancing the reliability of new models. These innovations are expected to improve the model development process, aiding companies in making more informed decisions prior to launch. The proposed mechanism involves using historical data and mathematical models to estimate potential error rates. This method could be particularly beneficial in critical use cases where errors may lead to severe consequences.