Fraudoscope, as the system is currently dubbed, starts much like a traditional polygraph with a set of calibration questions with a well-known answer. The initial interviewees are also asked to imagine they’ve just won a gold medal — as they make up their imaginary answer, the system learns to recognize that individual’s “tell.”
The challenge is that, while detecting facial changes may be easier for computers than the naked human eye, computers have yet to understand the reason behind those minute facial changes — it is, after all, asking a machine to read human emotion. The company says that may change the more faces the machine learning algorithm works with. – READ MORE
