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GAO-20-379SP 1 (2020-02-20)

handle is hein.gao/gaobaeaqq0001 and id is 1 raw text is: 
                            Science, Technology Assessment,
G       A      O            and Analytics




SCIENCE & TECH SPOTLIGHT:

DEEPFAKES


What is it? A deepfake is a video, photo, or audio recording that seems
real but has been manipulated with Al. The underlying technology can
replace faces, manipulate facial expressions, synthesize faces, and
synthesize speech. Deepfakes can depict someone appearing to say or
do something that they in fact never said or did.


Deepfakes use different underlying Al technologies-notably autoencoders
and generative adversarial networks (GANs). An autoencoder is an
artificial neural network trained to reconstruct input from a simpler
representation. A GAN is made up of two competing artificial neural
networks, one trying to produce a fake, the other trying to detect it. This
competition continues over many cycles, resulting in a more plausible
rendering of, for example, faces in video. GANs generally produce more
convincing deepfakes but are more difficult to use.

Researchers and internet companies have experimented with several
methods to detect deepfakes. These methods typically also use Al to
analyze videos for digital artifacts or details that deepfakes fail to imitate
realistically, such as blinking or facial tics.


Source: GAO. I GAO-20-379SP


        Deepfake videos commonly swap faces or manipulate facial expressions. In face
swapping, the face on the left is placed on another person's body. In facial manipulation, the
expressions of the face on the left are imitated by the face on the right.

While deepfakes have benign and legitimate applications in areas such as
entertainment and commerce, they are commonly used for exploitation.
According to a recent report from the company Deeptrace, much of
deepfake content online is pornographic, and deepfake pornography
disproportionately victimizes women. Further, there is concern about
potential growth in the use of deepfakes for other purposes, particularly
disinformation. Deepfakes could be used to influence elections or incite
civil unrest, or as a weapon of psychological warfare. They could also lead
to disregard of legitimate evidence of wrongdoing and, more generally,
undermine public trust in audiovisual content.

How does it work? Deepfakes rely on artificial neural networks, which
are computer systems modeled loosely on the human brain that recognize
patterns in data. Developing a deepfake photo or video typically involves
feeding hundreds or thousands of images into the artificial neural network,
training it to identify and reconstruct patterns-usually faces.


Source: GAO; conceived from DARPA image at
https:/lwww.darpa.mil/news-events/2019-09-03a. I GAO-20-379SP


        Examples of characteristics that may indicate a deepfake.

How mature is it? Anyone with basic computer skills and a home
computer can create a deepfake. Computer applications are openly
available on the internet with tutorials on how to create deepfake videos.
However, to develop a somewhat realistic deepfake, these applications
generally still require hundreds or thousands of training images of the
faces to be swapped or manipulated, making celebrities and government
leaders the most common subjects. More convincing deepfakes created
with GANs require more advanced technical skills and resources. As
artificial neural network technologies have advanced rapidly in parallel
with more powerful and abundant computing, so has the ability to produce
realistic deepfakes.


GAO-20-379SP Deepfakes

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