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Software that is better at detecting deception than you are

By studying videos from high-stakes court cases, University of Michigan researchers are building unique lie-detecting software based on real-world data.

 

Their prototype considers both the speaker’s words and gestures, and unlike a polygraph, it doesn’t need to touch the subject in order to work. In experiments, it was up to 75 percent accurate in identifying who was being deceptive (as defined by trial outcomes), compared with humans’ scores of just above 50 percent. The system might one day be a helpful tool for security agents, juries and even mental health professionals.

 

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