Leyla Isik, a professor of cognitive science at Johns Hopkins University, is also a senior scientist on a new study looking at how good AI is at reading social cues. She and her research team took short videos of people doing things — two people chatting, two babies on a playmat, two people doing a synchronized skate routine — and showed them to human participants. After, they were asked them questions like, are these two communicating with each other? Are they communicating? Is it a positive or negative interaction? Then, they showed the same videos to over 350 open source AI models. (Which is a lot, though it didn't include all the latest and greatest ones out there.) Isik found that the AI models were a lot worse than humans at understanding what was going on. Marketplace’s Stephanie Hughes visited Isik at her lab in Johns Hopkins to discuss the findings.
