A new study from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) demonstrates a significant advancement in AI’s ability to understand and predict human behavior. The research introduces a framework where AI models learn from a small amount of data about a person’s past actions to make accurate predictions about their future decisions in unfamiliar situations. This approach, which focuses on inferring underlying goals and constraints, shows improved performance over traditional methods that rely on massive, general datasets. The findings suggest potential applications in improving human-AI collaboration, from autonomous vehicles anticipating pedestrian movement to personalized robotic assistants. Read the full article at: https://www.example.com/full-article