Evidence Collection

Evidence collection, crucial for verifying information and supporting decision-making, is undergoing a transformation driven by advancements in artificial intelligence. Current research focuses on automating this process using large language models and deep reinforcement learning, aiming to improve accuracy and efficiency in tasks ranging from fact-checking and health technology assessment to fake news detection and medical diagnosis. These automated systems are designed to generate search queries, synthesize information from diverse sources, and even emulate human reasoning, ultimately enhancing the reliability and speed of evidence-based processes across various fields.