AI Models Still Unable to Distinguish Beliefs from Facts, New Study
AI tools are increasingly finding their way into critical areas like law, medicine, education, and the media. As these systems become more advanced, questions are growing about their ability to separate beliefs from facts. A recent study by Stanford University researchers has highlighted this concern, revealing a significant gap in AI’s understanding of human belief. The study, led by James Zou and Mirac Suzgun, both from Stanford, tested 24 of the most sophisticated AI models currently in use. Using a benchmark called Knowledge and Belief Evaluation (KaBLE), the team tested the models with 13,000 questions across 13 different tasks. Their…