And it's a similar promise to a lot of other over-promising AI technologies that don't work, like "fake news detectors".
And it's a similar promise to a lot of other over-promising AI technologies that don't work, like "fake news detectors".
And how do you know that?
I'm not for it, but it's not a polygraph as described.
All in all, just another worrying piece of news from Hungary.
Please take a step back and look at all the replies to you. They all essentially say the same: We don't know of any reliably objective measurement for measuring lying. Humans can sometimes do that intuitively, yes, but to my knowledge there hasn't been a single successful attempt of a generalization of detection. That's why state of the art means using trained humans, like the airport security in Israel.
Without a mechanism to detect lying without using humans, no amount of statistics (which ML boils down to) can help you. ML can't change the fact that you don't know if the data point is a signal or just noise. Without knowing what the signals look like, ML can't calculate the noise away.
Even simpler: For ML you need a dataset with people lying and people saying the thruth. That's what you train the model on. But we have no way of building that dataset, because, to my knowledge, we don't have a way to reliably build up this dataset: We can't reliably detect if someone is lying.
Quote: "Looking for cues to deception merely from ephemeral facial micro-expressions is questionable and likely fruitless. Micro gestures may be indicative of internal emotional turmoil that is being suppressed, but that is it. The distinguished Paul Ekman, who in fact coined the term micro - expression has stated in his book Telling Lies that micro expressions are rare and they "don't occur that often" (Ekman 1985, 131, 165). Plus as others have said, there is no single behavior indicative of deception (Matsumoto et. al., 2011, 1-4). I am concerned that machines that focus solely on the face will no doubt miss other information from the body (sweating, jittery hand, etc.) or generate lots of false positives because negative emotions abound especially where such machines are intended such as airports (stress of travel, stress of being subjected to searches, or inconvenient interviews, etc) or in a police setting."
[1] https://www.psychologytoday.com/ca/blog/spycatcher/201203/th...