AI models fall short in predicting social interactions, shows...
6 Articles
6 Articles
Using AI To Find Neural Traits In Social Interaction
An algorithm that maps individual brain activity can reveal a “neural fingerprint” of transient brain states during social interactions. The authors of the new paper believe their work demonstrates that individuals whose neural fingerprints are more aligned tend to more readily enter a shared state of deep focus—commonly known as team flow—which has profound implications for enhancing teamwork and performance across various high-stakes environm…
AI doesn't understand much about social interaction yet. And that's a big problem
Lately, study after study has been published on what AI can do better than humans. But artificial intelligence is less good at one thing: interpreting social interaction. More precisely: describing and understanding social interactions in a moving environment, a skill that is needed for self-driving cars, care robots and other […] More science? Read the latest articles on Scientias.nl .
AI Still Falls Short in Understanding Human Social Interactions
Humans significantly outperform AI models in interpreting dynamic social interactions, a skill critical for technologies like autonomous vehicles and assistive robots. In a new study, participants reliably judged short videos of social scenes, while over 350 AI models struggled to match human accuracy or predict brain responses.
AI models fall short in predicting social interactions, shows...
Last Updated on April 24, 2025 by Team THIP New Delhi, April 24 (IANS) Artificial intelligence (AI) systems failed at understanding social dynamics and context necessary for interacting with people and the problem may be rooted in the infrastructure of AI models, Johns Hopkins University research said on Thursday. Humans, it turned out, are better […] The post AI models fall short in predicting social interactions, shows research appeared first …
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