Johns Hopkins research shows AI models fall short in predicting social interactions

Humans, it turns out, are better than current AI models at describing and interpreting social interactions in a moving scene—a skill necessary for self-driving cars, assistive robots, and other technologies that rely on AI systems to navigate the real world. The research, led by scientists at Johns Hopkins University, finds that artificial intelligence systems fail…