An inner-speech decoder reveals some mental privacy issues

Stanford researchers developed a brain-computer interface that can decode inner speech directly from neural signals, bypassing the need for patients to physically attempt speaking. This breakthrough could help severely paralyzed individuals communicate more easily, but raises significant mental privacy concerns since inner monologues contain private thoughts. The team implemented safeguards to protect patient privacy while working with four paralyzed participants who had electrode arrays implanted in their motor cortex.