Conversational Strategy

Conversational strategy research focuses on understanding and optimizing how humans and AI agents interact through dialogue, aiming to improve efficiency, effectiveness, and safety in various applications. Current research explores diverse areas, including the development of strategies for eliciting information from large language models, learning effective conversational techniques from expert demonstrations (e.g., motivational interviewing), and applying game-theoretic models to analyze and predict dialogue outcomes. These advancements have implications for improving AI safety, designing more effective human-computer interfaces, and enhancing our understanding of human communication and decision-making processes.