LLM Assisted Decision Making

Large language model (LLM)-assisted decision-making explores how LLMs can enhance human decision-making across diverse domains. Current research focuses on improving LLM reliability through techniques like enhancing logical consistency and incorporating uncertainty quantification, as well as developing frameworks that leverage past experiences and analogical reasoning for more robust and context-aware decisions. This field is significant because it addresses crucial issues of trustworthiness and safety in AI systems, impacting both the development of more reliable AI tools and the responsible integration of LLMs into various applications, from crisis management to robotic control.