What are deepfakes and are they dangerous? | Start Here
Summary
TLDRJennifer Lopez discusses the alarming rise of deep fakes, a technology using AI to convincingly impersonate people in videos. She explains the process, potential misuse in non-consensual pornography, and its impact on mental health and misinformation. Lopez emphasizes the importance of skepticism and awareness in a digital age where reality can be manipulated, and the ongoing efforts to counter this threat.
Takeaways
- 🎤 Jennifer Lopez discusses the dangers of deep fakes on her favorite show, emphasizing the importance of trusting genuine content.
- 🤖 Deep fakes are created using deep learning, a type of artificial intelligence, to impersonate people in videos and audio.
- 🕵️♂️ The process of making deep fakes involves turning videos into images, separating faces, and using machine learning to merge them.
- 🚀 Technology behind deep fakes is rapidly improving, making the creation process easier and more accessible.
- 🌐 There are creative and harmless applications of deep fakes, such as language campaigns and hiding identities for safety.
- 😱 Non-consensual deep fakes, particularly in pornography, are a significant issue, infringing on individuals' rights and causing emotional distress.
- 🔎 Deep fakes can be used maliciously in various contexts, including discrediting individuals and financial scams.
- 🌍 The impact of deep fakes extends to the global stage, influencing politics and causing misinformation.
- 👀 Spotting deep fakes can be challenging, but signs like differences in resolution or ghosting around the face may indicate manipulation.
- 🛡️ Researchers and organizations are working on solutions to detect and counter deep fakes, recognizing their potential threat.
- 📢 The script calls for increased awareness and skepticism, especially when encountering emotionally charged content online.
Q & A
Who is the speaker in the video script?
-The speaker in the video script is Jennifer Lopez.
What is Jennifer Lopez excited about in the script?
-Jennifer Lopez is excited about being on her favorite show and discussing her new album, as well as the topic of deep fakes.
What is the main concern Jennifer Lopez raises about deep fakes?
-Jennifer Lopez raises concerns about the dangers of deep fakes, particularly how they can be used to manipulate and deceive people, and the difficulty in distinguishing what is real and what is fake.
What is the technology behind deep fakes?
-The technology behind deep fakes is deep learning by a machine, which is a type of artificial intelligence used to impersonate people.
How does Jennifer Lopez describe the process of creating a deep fake?
-Jennifer Lopez describes the process as involving turning a video into hundreds of images (frames), separating the face from the images, and then using machine learning to align and merge the faces, adjusting skin tones and other details in the final result.
What are some positive uses of deep fake technology mentioned in the script?
-Some positive uses of deep fake technology mentioned include an anti-malaria campaign with David Beckham speaking nine languages, hiding the real faces of LGBTQ people in Chechnya, and reanimating photos of deceased relatives.
What is the primary ethical issue with deep fakes as discussed in the script?
-The primary ethical issue discussed is the non-consensual use of deep fakes, particularly in creating non-consensual pornography, which infringes on individuals' rights and can have severe psychological impacts.
What are some of the negative impacts of deep fakes on individuals mentioned in the script?
-Negative impacts of deep fakes include humiliation, embarrassment, and mental health issues such as depression and anxiety.
How have deep fakes been used in scams as described in the script?
-Deep fakes have been used in scams by impersonating voices and faces to deceive people into transferring money, as was the case with a businessman who was tricked into transferring over $240,000 to a bogus bank account.
What are some signs that might indicate a video is a deep fake?
-Signs that a video might be a deep fake include differences in resolution, ghosting around the face, and blurring around the ears or hairline.
What advice does Jennifer Lopez give on how to approach content that might be a deep fake?
-Jennifer Lopez advises that if something makes you feel a strong emotion, it's a good time to take an extra second to check if it's real.
Outlines
🎭 Deep Fakes: The Art and Danger of AI-Driven Impersonation
Jennifer Lopez discusses the phenomenon of deep fakes, a technology that uses artificial intelligence to convincingly impersonate people in videos. She explains how deep fakes are created using machine learning to superimpose one person's likeness onto another's, as demonstrated by a video merging her face with another's. While there are creative and harmless uses for deep fakes, such as language campaigns and protecting individuals at risk, the technology also poses serious threats. Non-consensual deep fakes, especially in pornography, are rampant, causing emotional distress and damaging reputations. Deep fakes can also be used to spread misinformation and even influence political outcomes, as seen in the case of Gabon's President Ali Bongo. The video emphasizes the importance of being able to discern between genuine and fake content in an increasingly deceptive digital landscape.
🕵️♂️ Spotting Deep Fakes: Detection and the Fight Against Misinformation
In this segment, Jennifer Lopez continues the discussion on deep fakes, focusing on how they can be identified and the broader implications for misinformation. She outlines signs to look for in detecting deep fakes, such as inconsistencies in resolution or ghosting effects around facial features. Lopez also stresses the importance of skepticism, especially when encountering emotionally charged content. As deep fakes become more sophisticated, she points out the ongoing efforts by researchers and organizations like Microsoft, Facebook, the UN, Europol, and the FBI to develop tools and strategies to counter this technology. The segment concludes with a call to action for viewers to stay vigilant and not be deceived by the increasingly realistic fakes that can circulate online.
Mindmap
Keywords
💡Deep Fakes
💡Deep Learning
💡Impersonation
💡Non-consensual Pornography
💡Misinformation
💡Disinformation
💡Consent
💡Mental Health
💡Technology
💡Authenticity
💡Detection
Highlights
Jennifer Lopez discusses the dangers of deep fakes, emphasizing the importance of trusting genuine content.
Deep fakes have evolved from slightly off look-alikes to highly realistic impersonations that are hard to detect.
The technology behind deep fakes is improving rapidly, making it difficult to assess what is real and what is fake.
Deep fakes use deep learning, a type of artificial intelligence, to impersonate people in videos.
Jennifer demonstrates the process of creating a deep fake using free software called Deep Face Lab.
The process of making deep fakes involves turning videos into frames, separating faces, and machine learning alignment.
Deep fakes are becoming easier to create as technology advances.
There are creative and harmless applications of deep fakes, such as language campaigns and hiding identities.
Deep fakes can be used unethically, often without consent, particularly in the creation of non-consensual porn.
96% of deep fakes online are non-consensual porn, highlighting a significant issue with women's rights and privacy.
Deep fakes can have severe impacts on mental health, causing depression and anxiety due to false representations.
Examples of deep fakes being used for discrediting individuals, such as a mother accused of defaming her daughter's rivals.
Financial scammers have used deep fake technology to impersonate voices and defraud businesses.
Deep fakes contribute to misinformation and can be used to create doubt about real events or statements.
The power of deep fake technology can threaten nations by creating realistic fake videos that can incite unrest.
Spotting deep fakes can be done by looking for inconsistencies in resolution or ghosting around facial features.
As deep fakes improve, they will become increasingly difficult to detect, necessitating advanced detection methods.
Researchers and organizations are working on automated software to detect and flag deep fakes.
The key takeaway is to be more aware and not be easily fooled by the content presented online.
Transcripts
hi everybody it's me jennifer lopez
i'm so excited to be on start here my
absolute
favorite show let's talk about my new
album
or we could talk about the dangers of
deep fakes
they've gone from look-alikes that seem
a bit off
this is a dangerous time trust in what
is genuine
and what is not to scary good videos
that have gone viral
we have now reached the state where the
impersonations
are extremely well done extremely hard
to detect
i genuinely love the process of
manipulating people online for money
the technology behind deep fakes is
getting smarter
while new apps are making it easier the
better deep fakes
become the harder it becomes to assess
what is real and what is fake
so what are deep fakes how can you spot
them
and why could something as fun as a face
swap
actually be the start of something way
more sinister
[Music]
let's break down the word itself the
fake and deep fake is pretty
self-explanatory
while deep refers to deep learning by a
machine which is a type of artificial
intelligence
and this is used to impersonate people
into making saying things you know
they've never said
or acting like that they've acted before
probably the best way to explain it
is to show you how we did it so i'm here
with haldoon start here's graphics
genius and he's taken a video
of me and a video of jennifer lopez so i
used a free software online called deep
face slab
the first step is to turn your video
into hundreds of images basically the
frames
and the second step is to separate the
face
from the images so the software is
pinning my eyes
and my mouth to the center of the frame
so that it's easier to align
with jlo's face and then we go to the
step three which is the machine learning
i need to keep pressing p to update
because like it takes so much time i
just like put the die
on the pee and then put some weight on
and go grab coffee
[Music]
and then we have the final step
basically is adjusting the
skin tune and merging the two faces on
the final result
the whole process actually took a few
days but making deep fakes is getting
easier as the technology improves
and it's improving fast so what can we
do with it
well there are plenty of useful creative
and harmless applications
to all this deep fakery this
anti-malaria campaign had david beckham
speaking nine languages
malaria isn't just any disease
this documentary used deep fakes to hide
the real faces
of lgbtq people in chechnya who were
afraid to be identified
there are slightly weirder uses as well
the website myheritage reanimates photos
of your dearly departed relatives
and some people find that comforting
what all of those examples have in
common
is that they're not about trying to
deceive people and the people involved
are all in on it the problem is when
deep fakes are made of people without
their consent
and so often that means women there are
people out there using pictures of
celebrities
and ordinary women and deep faking them
onto pornography actors
a study in the netherlands found that a
staggering 96
of the deep fakes online were
non-consensual porn
it's women's bodies uh identities um
and rights that are being transgressed
it's humiliating it's embarrassing and
particularly
with deep flex becoming so good it's
very difficult to convince people that
that isn't you because if it looks like
you it might as well be you
we we see big impacts on people's mental
health uh depression anxiety
and it goes beyond the world of porn a
mother in pennsylvania has been accused
of trying to discredit
three of her daughter's rivals on a
cheerleading squad where police said she
made deep fakes of them naked
drinking and smoking financial scammers
are using deep fake technology too
in 2019 criminals used ai software to
impersonate the voice of a businessman's
boss
on the phone they convinced him to
transfer more than 240
000 to a bogus hungarian bank account so
the dangers of deep fakes are already
real
and they're adding to a whole world of
misinformation
a world where it can already be hard to
know what's true and what's not
where actual facts are dismissed as
false conspiracy theories thrive
and powerful states run sophisticated
disinformation campaigns
most of the misinformation we see in
most of what people get affected by
is much lower tech things photos taken
out of context
things that are simple photoshop jobs
much simpler and cheaper ways of making
misinformation go
viral like this video of nancy pelosi a
senior u.s democrat who was made to look
drunk
just by slowing down the video it's
really sad and here's the thing
and i told this to the room it's really
sad
here's the thing and i told this to the
room but the power of deep fake
technology
takes it all to another level in the old
days
if you wanted to threaten the united
states you needed 10 aircraft carriers
and nuclear weapons and long-range
missiles increasingly all you need is
the ability to produce
a very realistic fake video what deep
fakes do
is create a climate of doubt to the
point where what's
actually real can be mistaken as
something fake
that's what happened in gabon
[Music]
back in 2019 president ali bongo hadn't
been seen in public for months
and when the government released this
video he didn't really look like himself
turns out the president had suffered a
stroke that changed how he looked
but some people were convinced he was
dead and that the video was a deep fake
a week later a group of soldiers
attempted a coup
whoa so how can we spot deep fakes
well there are some signs we can look
for there might be differences in
resolution
or if you see ghosting around the face
or blurring around the ears or hairline
chances are a computer made it what i
tell people is if something makes you
feel a strong emotion
either really good or really mad that's
the time to take an extra second
and check to see if it's real but the
reality is
that as deep fakes get better they'll
get harder and harder to spot
researchers at universities and
companies like microsoft and facebook
are working on automated software to
find and flag them
organizations like the un europol and
the fbi
are all actively looking into how to
counter deep fakes as a threat
we're always in this arms race of kind
of a new technology
exists people start using it for bad
things and then we kind of
adjust our understanding and move
forward there's nothing inherently bad
about the technology
but we know the harm it can do so what
you and i can do
is be more aware don't be fooled by the
rocks that i got
or the face that i got either
[Music]
if you want to see more start here
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youtube channel and our facebook
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release new shows
every week see you there
you
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