The team from the University of Maryland and Dartmouth College trained the AI to recognise five micro-expressions known to indicate that someone is lying - frowning, eyebrows raising (pictured), lip corners turning up, lips protruded and head side turn
The robot that knows when you're
lying: Scientists create an AI that can detect deception in the courtroom (and
it's already 'significantly better' than humans)
·
The system, called DARE, was
trained by watching 15 videos of people in court
·
It was trained to recognised five
expressions that indicate someone is lying
·
These are frowning, raised
eyebrows, lips turning up, lips protruded and head tilt
·
In a final test, the system
performed with 92 per cent accuracy
·
The researchers describe this
performance as 'significantly better' than humans
·
From
a raise of an eyebrow to a tilt of the head, we use several micro-movements
when we're lying without even knowing it.
Now,
scientists have developed an artificial intelligence system that can detect
these micro-expressions and detect if you're lying – and it's already
'significantly better' than humans.
The
researchers hope their system could soon be used in courtrooms to tell if
people on the stand are telling the truth.
The team from the University
of Maryland and Dartmouth College trained the AI to recognise five
micro-expressions known to indicate that someone is lying - frowning, eyebrows
raising (pictured), lip corners turning up, lips protruded and head side turn
The AI system, called Deception
Analysis and Reasoning Engine (DARE), has been developed by researchers from
the University of Maryland and Dartmouth College.
To
develop DARE, the researchers trained the system using videos of people in the
courtroom.
In their study, published in arXiv, the researchers, led by Dr Zhe
Wu, said: 'On the vision side, our system uses classifiers trained on low level
video features which predict human micro-expressions.'
The team
trained the AI to recognise five micro-expressions known to indicate that someone
is lying - frowning, eyebrows raising, lip corners turning up, lips protruded
and head side turn.
After
watching 15 videos from courtrooms, DARE was then tested on whether it could
tell if someone was lying in a final video.
Results
showed that DARE managed to spot 92 per cent of the micro-expressions, which
the researchers describe as a 'good performance.'
·
The
researchers then gave the same task to human assessors, who were only able to
pick up 81 per cent of micro-expressions.
Results
showed that the AI was better than humans at spotting if someone was lying.
The
researchers said: 'Our vision system, which uses both high-level and low level
visual features, is significantly better at predicting deception compared to
humans.'
The
researchers suggest that the system could be even more effective if the AI was
provided with further information.
They
added: 'When complementary information from audio and transcripts is provided,
deception prediction can be further improved.'
CAN AI
JUDGE IF YOU HAVE THE FACE OF A CRIMINAL?
Last year, a controversial paper was released, which
investigated whether a computer could detect if a human could be a criminal, by
analysing their facial features.
The study involved 1,856 faces of Chinese men aged 18 to 55,
which were 'controlled' to account for 'race, gender, age and facial
expressions.'
730 of the photos belonged to criminals – although the images
were not mugshots.
The images were fed into a machine learning algorithm, which
used four different methods (classifiers) of analysing facial features, to
infer criminality.
The researchers write: 'All four classifiers perform
consistently well and produce evidence for the validity of automated
face-induced inference on criminality, despite the historical controversy
surrounding the topic.
'Also, we find some discriminating structural features for
predicting criminality, such as lip curvature, eye inner corner distance, and
the so-called nose-mouth angle.'
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