Goal Specification

Goal specification in artificial intelligence focuses on enabling machines to understand and act upon human-provided objectives, bridging the gap between human intent and machine execution. Current research emphasizes developing robust methods for interpreting ambiguous or incomplete instructions, often leveraging large language models and Bayesian inference to infer underlying goals from actions and language, or by using LLMs to generate high-level plans that simplify complex tasks for lower-level control systems. This work is crucial for creating more helpful and adaptable AI agents, with applications ranging from assistive robotics to improved human-computer interaction and more reliable decision-making systems.