When German journalist Martin Bernklautyped his name and location into Microsoft’s Copilot to see how his articles would be picked up by the chatbot, the answers horrified him. Copilot’s results asserted that Bernklau was an escapee from a psychiatric institution, a convicted child abuser, and a conman preying on widowers. For years, Bernklau had served as a courts reporter and the AI chatbot had falsely blamed him for the crimes whose trials he had covered.
The accusations against Bernklau weren’t true, of course, and are examples of generative AI’s “hallucinations.” These are inaccurate or nonsensical responses to a prompt provided by the user, and they’re alarmingly common. Anyone attempting to use AI should always proceed with great caution, because information from such systems needs validation and verification by humans before it can be trusted.
But why did Copilot hallucinate these terrible and false accusations?
This isn’t quite accurate. LLMs semantically group words and have a sort of internal model of concepts and how different words relate to them. It’s still not that of a human and certainly does not “understand” what it’s saying.
I get that everyone’s on the “shit on AI train”, and it’s rightfully deserved in many ways, but you’re grossly oversimplifying. That said, way too many people do give LLMs too much credit and think it’s effectively magic. Reality, as is usually the case, is somewhere in the middle.