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?
That’s what you’re missing. Those are not language models nor use neural networks. At best they use a classification NLP. They do not generate text, use pick pre-constructed answers based on the inputs. Because it this three’s no confidence beyond “what’s generally the correct based on this keyword”
I’ve worked with IBM Watson. That existed and was used for basic bots a decade ago. You have you manually feed the terms to outputs.
Y he usado la web de la agencia tributaria para confirmar lo que digo.