AI models have progressed rapidly in recent years and can already outperform humans in various tasks, from generating basic code to dominating games like chess and Go. While the humans completed the task with ease, the AI models, regardless of their training data, struggled to accurately interpret what was happening in the clips. The researchers say their findings suggest that AI models still have significant difficulty understanding human social cues in real-world environments. Across the board, the AI models failed to demonstrate the same level of consensus as the human participants. In these settings, properly understanding human social cues and context is even more critical, as even small misjudgments in intention run the risk of injury.