Why does AI confuse knowledge with beliefs? - results of a test on 24 language models

Scientists have recently uncovered a major limitation in how artificial intelligence models understand truth and belief. Research shows that many current AI models, despite their ability to process vast amounts of data, struggle with distinguishing between facts and beliefs. This phenomenon becomes particularly problematic in the context of misinformation, where false information can be mistaken for truth. To investigate this issue, researchers conducted various tests aimed at assessing how AI interprets information. Their findings reveal that AI can be particularly susceptible to versions of reality that are prevalent in the data on which it learns. As AI becomes increasingly common in mediating information, understanding its limitations is crucial for ensuring the reliability of processed data.