Researchers have developed AI technology that identifies a person’s intentions through brainwaves and adjusts its own behaviour without spoken or physical cues. KAIST said the team led by Sang Wan Lee developed a brain-computer interface technique called Neural Value Alignment with Microsoft Research Asia. The system distinguishes different brainwave signals linked to goal errors and action-method errors, then uses deep learning to interpret EEG in real time and revise AI behaviour accordingly.

Researchers in South Korea have developed techniques to reduce cases in which AI confuses multiple sensory inputs or generates nonexistent information. KAIST said a team led by professor Yong-man Ro developed two methods to improve sensor understanding in multimodal large language models and reduce confusion between visual and audio data. The approaches are designed to work with less data or be applied without retraining. KAIST said the technology could be used in autonomous driving, rescue robots, drones and medical AI.