A future in which AI can recognize a person's unspoken "that's not what I meant" response from brain signals and adjust its behavior on its own is coming closer. KAIST researchers have developed a technology that detects cognitive mismatch between humans and AI through brainwaves, enabling AI systems to revise their actions in real time according to human goals. The achievement is expected to accelerate the shift from AI that follows explicit commands to AI that can infer human intent.
A research team led by Endowed Chair Professor Sang Wan Lee from the Department of Brain and Cognitive Sciences (Director of the Center for Neuroscience-Inspired Artificial Intelligence), in collaboration with Microsoft Research Asia (MSRA), developed Neural Value Alignment (NVA), a next-generation brain–computer interface (BCI) technology.
The research is published in IEEE Transactions on Cybernetics.
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