Courtroom AI system claims almost 90 percent accuracy in detecting lies
motherboard.vice.com
motherboard.vice.com
What are currently the best tech buzzwords that might convince people you have magic pixie dust for sale?
blockchain
I suspect based on the image he meant DARE: https://doubaibai.github.io/DARE/
Which is somewhat less than impressive. The quoted "accuracy" is AUC which weighs all errors the same. It is also not a binary detector. For use in courtroom false positives are much more costly.
Remember this also says nothing about generalization power of the system. Nor how well humans could be trained to detect lies. (Untrained results were pretty impressive.)
Very overblown claims as of now.
Paul Ekman [0] is "ranked 59th out of the 100 most cited psychologists of the twentieth century" and I thought the TV show based on his research [1] was very entertaining. (I am surprised that the article used the phrase "micro-expression" without any reference to Ekman's work.)
[0] https://en.wikipedia.org/wiki/Paul_Ekman [1] https://en.wikipedia.org/wiki/Lie_to_Me
Specifically, comments should encourage discussion and allow for multiple perspectives on topic. It appears to me that your comment is borderline name calling and is anything but constructive.
I will put this on a plaque. It is unfortunately not a popular opinion.
Or, I guess there may be a distinction between "it is good to, for every thing, to be skeptical of that thing" and "for every thing, it is good to be skeptical of that thing".
I consider the statement that "for every statement, it is good to be skeptical of that statement, regardless of what other statements that one is or is not skeptical of" to be doubtful.
It seems fairly clear that skepticism which is directed in a specific way can be harmful?
From the article: This was based on evaluations of 104 mock courtroom videos featuring actors instructed to be either deceptive or truthful.
As an aside, the comment you're referring to was dead on arrival. It looks like that account has been banned.
This is fucking retarded.
They should institute a law that if you are using machine learning to make major decisions about people's lives then you need to take a test about basic ML (test sets, validation sets, etc.)
Does anyone have a correct link?
This is essentially some feature engineering thrown at an SVM / GNN. What makes the results even tougher to reproduce is that the training set is not provided, only resulting matrices.
It is telling when different classifiers work best for supervised and auto cases...
More rubbish out of the polygraph playbook. AI is the modern Mechanical Turk when applied to the complex nonlinearities of human behavior.
The closest thing I've heard of to an objective method, the guilty knowledge test, doesn't center on evaluating the truth of the suspect's statements at all. Basically, the authorities know certain confidential facts about the case, such as the location of a wound, characteristics of a weapon, characteristics of an item stolen by the perpetrator, non-public "calling card" of a serial killer, method used to break into a building, etc.. The interviewer (who should be unaware of the true fact, to prevent something like the Clever Hans effect) is given a list including the true fact and plausible alternatives to incorporate into the questions. The idea is that a reaction specifically to the true fact indicates that the suspect knows something that only the actual perpetrator would know. As far as I know, interpretation of these results is still ultimately subjective because there is simply too much variability in human psychology and physiology to define a useful objective standard of when the test is "failed".
The better fact is to cite that a monkey is as accurate as a polygraph machine.
Remember that 50% numerical accuracy is _because it cannot be any lower_. If it could, it would be inversely utilized for accuracy.