Surveillance cameras at airports could be used to identify passengers who are not telling the truth, helping better identify terrorists and drug-smugglers while minimizing instances of racial profiling.  The artificial-intelligence programme was developed by a team of computer scientists at the University of Rochester, New York, using crowdsourcing technology to build the largest public data

resource of liars’ facial expressions. Researchers used a machine-learning algorithm to analyze over 1.3 million frames of one-to-one interactions. Among the most common traits associated with lying identified by the programme was a high-intensity version of the so-called Duchenne smile, in which people effectively smile with their eyes. READ MORE