Recent studies have revealed that large language models are prone to spreading misinformation, particularly when addressing statements about facts, conspiracies, and controversies. The research highlights frequent errors, contradictions, and the repetition of harmful information in ChatGPT. It has been pointed out that context and the manner of questioning may influence the extent to which the model "agrees" with misinformation. Given that these models may learn incorrect information during their training process, this raises concerns about their potential dangers.
Research Reveals Issues of Large Language Models Spreading Misinformation

站长之家
This article is from AIbase Daily
Welcome to the [AI Daily] column! This is your daily guide to exploring the world of artificial intelligence. Every day, we present you with hot topics in the AI field, focusing on developers, helping you understand technical trends, and learning about innovative AI product applications.