See other models, for example the U of MD, which also been working on this. Of course lie detection using biometics has been around for a long time, but is still not generally accepted in US courts of law. Will this be treated similarly? But then if this detection is integrated with other facial recognition data and rolled into an algorithm? Implications unclear.
Using Data Science to Tell Which of These People Is Lying By University of Rochester
University of Rochester researchers are applying data science and an online crowdsourcing framework to read facial and verbal cues for signs of deception.
The Automated Dyadic Data Recorder framework was used to generate the largest publicly available deception dataset currently in existence. Participants sign up on Amazon Mechanical Turk to be assigned the roles of describer or interrogator. The former is displayed as an image they must memorize thoroughly, and the computer instructs them to either lie or truthfully relate the image details. The interrogator then asks the describer a set of irrelevant baseline queries to record individual behavioral differences that are fed to a "personalized model."
The researchers have culled 1.3 million frames of facial expressions from 151 pairs of individuals conducting this experiment, analyzing the information with data science. Among their findings is the detection of five types of smile-related expressions people make in response to questions, including one most frequently associated with lying. .... "
From University of Rochester
Showing posts with label UMD. Show all posts
Showing posts with label UMD. Show all posts
Sunday, May 27, 2018
Wednesday, January 10, 2018
Detecting Deception
Skeptical, like to see more.
A New AI That Detects 'Deception' May Bring an End to Lying as We Know It Futurism By Dom Galeon in Futurism in ACM News
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. .... "
A New AI That Detects 'Deception' May Bring an End to Lying as We Know It Futurism By Dom Galeon in Futurism in ACM News
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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