This AI report from the Illinois Institute of Technology explores the opportunities and challenges of combating misinformation with Large Language Models (LLMs). LLMs have the potential to revolutionize the detection, intervention, and attribution of misinformation due to their extensive knowledge and reasoning abilities. However, they can also be programmed to produce false information, making it difficult to distinguish from human-written misinformation. The report presents strategies for using LLMs to fight disinformation, including intervention and attribution. It also highlights the importance of combining human knowledge with LLM capabilities to create an effective tool. The report suggests improving LLM safety through data selection and bias mitigation, algorithmic transparency and explainability, and human oversight and control mechanisms. It also recommends reducing hallucinations by integrating fact-checking algorithms, training LLMs to be more aware of their limitations, and carefully crafting prompts and fine-tuning models. The report emphasizes that there is no one solution to addressing LLM safety and hallucinations, and a combination of approaches is necessary. Overall, the report emphasizes the potential of LLMs in combating misinformation while also acknowledging the challenges they present.
