Deliberation Model

Deliberation models aim to improve decision-making processes, particularly in complex scenarios involving multiple perspectives or uncertain information, by simulating or facilitating structured discussions. Current research focuses on leveraging large language models (LLMs) within various architectures, such as multi-agent systems and multi-pass frameworks, to enhance the quality, efficiency, and robustness of deliberation, often incorporating techniques like confidence calibration and automated quality assessment. These advancements have implications for diverse fields, including AI-assisted decision-making, online political discourse, and human-robot interaction, by offering tools to improve the quality and fairness of collective intelligence.