Researchers at the University of Maryland (UMD) have developed the Deception Analysis and Reasoning Engine (DARE), which uses artificial intelligence (AI) to autonomously detect deception in courtroom trial videos.
The team trained DARE to seek out and classify human micro-expressions, such as "lips protruded" or "eyebrows frown," and analyze audio frequency for vocal patterns that signal whether a person is lying or not. DARE then was tested with a training set of videos in which actors were told to either lie or be honest.
UMD's Bharat Singh says DARE outperformed the average person in detecting lies, and notes "a remarkable observation was that the visual AI system was significantly better than common people at predicting deception."
Singh estimates DARE scored an area under the curve (AUC) of 0.877, which rose to 0.922 when combined with human annotations of micro-expressions, while ordinary people score an AUC of 0.58.
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Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA
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