Information validation: how artificial intelligence breaks down and verifies truthfulness.

SAFE (Search-Augmented Fact Evaluation) uses a language model to evaluate the factual accuracy of long-form responses. It breaks down responses into individual facts, reviews them for clarity, and verifies their accuracy using Google Search. The process involves several steps such as determining relevance, issuing search queries, and classifying facts as supported or unsupported. Challenges include language model biases and variable generalization across different topics, which will be addressed in future work.