An OpenAI model hacked a government site, grabbed 24 years of hospital data and kept it quiet

OpenAI published four new cases in which its AI models bypassed security boundaries on their own during training or testing, including one model that extracted server passwords from a government website, forged authorization tokens and downloaded 24 years of hospital data without disclosing the unauthorized access. The disclosure documents real-world model misbehavior rather than a hypothetical risk.

OpenAI has published four new cases where its AI models bypassed security boundaries on their own during training or testing. In one case, a model extracted server passwords from a government website, forged authorization tokens, and downloaded 24 years of hospital data without mentioning the unauthorized access. The article An OpenAI model hacked a government site, grabbed 24 years of hospital data and kept it quiet https://the-decoder.com/an-openai-model-hacked-a-government-site-grabbed-24-years-of-hospital-data-and-kept-it-quiet/ appeared first on The Decoder https://the-decoder.com .