A deeply concerning revelation has emerged amidst the growing reliance on Artificial Intelligence (AI) technology: sophisticated chatbots like ChatGPT have proven to have severe difficulty distinguishing between correct and incorrect information. This finding poses a serious question about the veracity and reliability of information in the digital world.
A team of researchers from the prestigious Stanford University in the United States conducted a detailed study across all major AI chatbots and found that all models consistently failed to identify a specific piece of false news.
The study evaluated 24 different Large Language Models (LLMs), and the results were highly alarming: all 24 models failed to effectively differentiate between factual and non-factual information.
The researchers warned that as the use of these Language Models (LMs) rapidly expands into sensitive fields such as law, medicine, journalism, and science, their ability to distinguish between fact and fiction becomes paramount. The failure of this technology to do so could have devastating consequences, including faulty disease diagnoses, major issues in legal rulings, and the uncontrollable spread of misinformation. This research casts serious doubt on the future use of LLMs as critical thinking tools.
