However sophisticated AI may be, it still struggles to understand our social interactions. — Photography Generated by OpenAI's ChatGPT/Majelan X/AFP Relaxnews
Artificial intelligence (AI) continues to advance, yet this technology still struggles to grasp the complexity of human interactions. A recent American study reveals that, while AI excels at recognising objects or faces in still images, it remains ineffective at describing and interpreting social interactions in a moving scene.
The team led by Leyla Isik, professor of cognitive science at Johns Hopkins University, investigated how artificial intelligence models understand social interactions. To do this, the researchers designed a large-scale experiment involving over 350 AI models specialising in video, image or language. These AI tools were exposed to short, three-second video sequences illustrating various social situations. At the same time, human participants were asked to rate the intensity of the interactions observed, according to several criteria, on a scale of 1 to 5. The aim was to compare human and AI interpretations, in order to identify differences in perception and better understand the current limits of algorithms in analysing our social behaviours.
