The RadLE 2.0 benchmark tests whether AI models in radiology can tell when they should leave a diagnosis to a human. Many models deliver wrong findings with full confidence, and human radiologists are still well ahead. Before AI can diagnose on its own, it needs to learn when it's better to say nothing.<br /> The article AI chatbots reading X-rays can be dangerously confident even when they're wrong appeared first on The Decoder. [...]
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]
An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]
We all have anecdotal evidence of chatbots blowing smoke up our butts, but now we have science to back it up. Researchers at Stanford, Harvard and other institutions just published a study in Nature a [...]
Meta hosted several AI chatbots with the names and likenesses of celebrities without their permission, according to Reuters. The unauthorized chatbots that Reuters discovered during its investigation [...]
Well, it finally happened. After years of waiting and requests, Amazon debuted the $280 Kindle Colorsoft, its first ereader with a color display. The company’s ereaders have dominated this space sin [...]
You spend weeks tuning an AI chatbot. Answers are accurate. Stakeholders sign off, and you ship it. Three months later, the system is confidently wrong about a third of what users ask. Nobody changed [...]
Meta has faced some serious questions about how it allows its underage users to interact with AI-powered chatbots. Most recently, internal communications obtained by the New Mexico Attorney General [...]