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Machine learning-based systems for identifying “deception” could be entering courtrooms someday: this one, which uses computer vision to identify and classify facial micro-expressions and audio frequency analysis to pick out revealing patterns in voices, was found to be almost 90 percent accurate, handily beating out humans assigned to the same task of detecting lies.
The subjectivity of a courtroom is both a bug and a feature. It allows for things like empathy, but it also (frequently) allows for very wrong determinations of guilt. That’s unsettling, but so is the idea of AI courtroom lie detectors and what sort of impact that may have on judges and juries.
The subjectivity of a courtroom is both a bug and a feature. It allows for things like empathy, but it also (frequently) allows for very wrong determinations of guilt. That’s unsettling, but so is the idea of AI courtroom lie detectors and what sort of impact that may have on judges and juries.