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ai-regulationBy Cara Candelario

Deepfake Videos: 15 Dutch Lawmakers Demand AI Crackdown

deepfake skin appears too smooth close up of a phone screen showing a blurred face edit
A phone screen shows a blurred face mid-edit, illustrating how a deepfake can be built from a single ordinary photo. Illustration: CaraComp

Fifteen women who sit in the Dutch parliament just stood up together and said, basically: this happened to us, and it's happening to everyone else too. Their faces were pasted into fake sex videos. Those videos were watched tens of thousands of times. And now they're demanding their government finally treat deepfake abuse (AI-made fake video or images that put your face somewhere you never were) like the safety emergency it actually is, not an embarrassing thing that happens on the internet and gets shrugged off.

TL;DR: A deepfake is a fake video or photo built by AI to look real, and 15 female members of the Dutch parliament are demanding a crackdown after their own faces were used, without permission, in fake sexual videos watched tens of thousands of times.

TL;DR

Deepfake abuse pushed 15 Dutch lawmakers to demand real enforcement, because a normal photo of anyone, famous or not, can now be turned into fake sexual content in minutes.

Here's the number that should stop you mid-scroll: one in four female members of the Dutch parliament say they've been targeted this way, according to reporting from NL Times. Lawmakers including Caroline van der Plas, Ingrid Coenradie, and Esther Ouwehand have had their faces dropped into fake pornographic videos that then got passed around online like a nasty rumor with a play button. AI provides businesses, platforms, and lawmakers with new detection tools, but these are women with staff, security, lawyers, and a public platform to fight back with. So ask yourself: if this can still happen to them, what happens to your teenager, your coworker, your mom on Facebook?

96%
of deepfake videos online are pornographic, mostly targeting female entertainers and female politicians
Source: research cited by NL Times / International AI Safety Report

Why this deepfake attack story is not really about 15 victims

The number in this headline is 15. But 15 is not the victim count, it's the alarm count. Fifteen women with power, staff, and legal resources are standing up and saying this is out of control. That's the real headline. Think about the availability heuristic for a second (that's just the fancy name for "we judge how common a danger is by how easily we can picture it"). Most people can't picture deepfake abuse happening to them, because they've never seen it happen to someone like them. Now they can picture it, because it happened to 15 elected officials whose names and faces are in the news every week. That changes everything about how seriously this gets taken.

And this is not a small, isolated Dutch problem. A UNICEF, ECPAT, and INTERPOL study spanning 11 countries found that at least 1.2 million children disclosed having their images turned into sexually explicit deepfakes in just the past year, according to UNICEF. Read that again. Children. Not celebrities, not politicians. Ordinary kids whose school photo or Instagram selfie got fed into an app that produces synthetic media in minutes. This article is part of a series, start with How To Protect Yourself From Identity Theft 6 Free Moves Pod.

The MPs are calling for three immediate measures: a new hotline for reporting offenses, enforcement of an upcoming December 1 ban on undressing apps, and a nationwide awareness campaign. reported by NL Times

How the netherlands deepfake law and deepfake detection are supposed to work versus what actually happens

The Netherlands already has laws that touch this, revenge porn rules, identity protections, and data privacy rules under GDPR. On paper, the netherlands deepfake law situation looks handled. In real life? It's a mess of speed versus paperwork. What used to take a skilled person hours with specialist software now takes anyone a few minutes and a free app. The law hasn't caught up to how fast the tools moved, and deepfake detection tools built by cyber researchers are only just starting to catch up too. That's the gap these 15 MPs are pointing at.


How to detect deepfakes: what a deepfake actually looks like next to the real thing

People assume they'd spot a deepfake right away. Sometimes yes. A lot of the time, no, especially on a phone screen at 11pm with the brightness turned down. Here's a rough side-by-side of what tends to give a fake away versus what real, unedited footage usually shows, information that matters just as much for still images as it does for deepfake videos.

What a deepfake often showsWhat real footage usually showsStatus
Skin appears too smooth, almost airbrushed, even in bad lightingNormal texture, pores, small blemishes that shift naturally with lightCommon deepfake video tell
Blinking that's too regular, too rare, or slightly off-rhythmBlinking that varies and matches natural liveness, meaning it looks like a real person reacting live, not a looped clipFlagged during deepfake detection
Edges around the jaw or hairline that flicker or blur during movementConsistent edges that hold steady frame to frameCommon in a deepfake generator output
Audio that doesn't quite sync with mouth movementSound and lip movement that line up naturallyEasy to detect deepfakes this way

Do deepfakes always look fake once you know what to check

Not anymore. A few years ago, yes, most fakes had obvious tells. Today the best ones pass a casual glance, especially short clips or still images shared quickly on group chats. That's exactly why 15 lawmakers are asking for a hotline and a public awareness push instead of just telling people to "look closer."

Why the AI deepfake crackdown matters beyond the Netherlands

  • ⚡ Speed outpaced the lawwhat took specialist software and hours a few years back now takes minutes on an app anyone can download, just upload one photo and the app does the rest
  • 📊 The gendered pattern is structural96% of deepfake video is pornographic, and it disproportionately targets female entertainers and female politicians, not random victims
  • 🔮 Enforcement, not just legislation, is the real gapDutch criminal law already covers a lot of this; the problem is volume and detection, not missing statutes
  • 🌍 Kids are already caught up in this1.2 million children across 11 countries reported having their photos turned into sexual deepfakes in one year alone
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The CaraComp take on deepfake content: who has to act first when a photo becomes a weapon

If you've ever wondered whether a photo or profile online is really who it claims to be, that's the exact question this kind of tech exists to answer, on both sides. The scary version of AI can fake a face. The reassuring version can also verify one, checking whether a photo has been altered, reused from somewhere else, or paired with a name it doesn't belong to. Here's the one useful thing to actually do, before you need it: if a suspicious image or video of you or someone you love shows up, do a reverse image search on the exact frame (not the whole video) and check where else that face and that background have appeared online. A single traceable copy elsewhere is often the fastest way to prove a photo was lifted and altered, and it's the kind of evidence a hotline or platform report actually needs to act fast. Any deepfake generator that produces this kind of content leaves some kind of trail, even when the video itself looks flawless.

What happens next with deepfake response and enforcement in the Netherlands

The MPs aren't asking for new philosophy papers on ethics. They're asking for three concrete things: a hotline so people can report this fast, real enforcement of a December 1 ban on undressing apps (the tools built specifically to strip clothing off a photo with one tap), and a national awareness campaign so people, especially kids, know what they're looking at before it wrecks a reputation or a relationship. Dutch courts have already started pushing back elsewhere too, ordering platforms like X's Grok tool to stop generating non-consensual sexual imagery, according to Tech Policy Press. That's a court moving faster than a hotline, which tells you something about where the real pressure is building. Previously in this series: Age Verification Uk Pubs Now Accept A Phone Tap Not Id Podca.

Critics of this push will say Dutch criminal law is already well-equipped for identity theft, fraud, and non-consensual image distribution, and honestly, they're not wrong on paper, according to analysis from Law & More. The problem isn't a missing law. It's that investigators are trying to bail out a flood with a teacup, and reputational protection for victims often comes too late once footage has already spread. Reports pile up faster than anyone can review them, and by the time something gets flagged, it's already been screenshotted, re-uploaded, and forwarded a hundred times.

Key Takeaway

A deepfake doesn't need a celebrity's face to do damage, it just needs one clear photo, which means the same fifteen lawmakers demanding a crackdown are really speaking for anyone whose picture is sitting on a public profile right now.

So here's the question worth sitting with tonight: if someone can turn an ordinary photo of you into something convincing and false in the time it takes to microwave leftovers, who should be scrambling to fix that first? The platform that let the app exist? The law that's still catching up? Or the person staring at their own face doing something they never did, trying to prove a negative to strangers online? Fifteen women in Dutch parliament just answered that question loudly, and in public, because apparently that's what it took for anyone to really listen.

deepfake: Frequently Asked Questions

What exactly is a deepfake and how is it different from a normal edited photo?

A deepfake is made by AI trained on real images of a person's face, then used to generate new fake video or photos of that person doing or saying things that never happened. Unlike a simple photo edit, it can create moving, talking, convincing content from just a handful of source pictures. That's why one social media profile picture is often all it takes to build a fake, and why deepfake images can spread across platforms before anyone flags them.

How can you detect deepfakes when the skin appears too smooth in a fake video?

Not reliably anymore, honestly. Early deepfakes often had skin appear too smooth, flat lighting, or blurry edges around the hairline, but the newer tools have gotten much better at faking texture and shadow. On a short clip or a still image sent through a messaging app, most people cannot spot it just by looking closely, which is exactly why lawmakers are pushing for reporting tools instead of relying on the public to self-detect fakes. Up next: Biometric Authentication 40 Of Systems A Photo Can Fool.

Does the netherlands deepfake law cover fake sexual images made without consent?

Yes, in principle. Dutch law already includes protections against non-consensual sexual imagery, identity misuse, and data privacy violations under GDPR, and courts have ordered platforms to stop generating this kind of content. The gap isn't the law itself, it's enforcement: detecting fakes fast enough and processing reports before the content spreads across group chats and other platforms.

What is the December 1 undressing app ban that Dutch MPs are demanding be enforced?

It's an upcoming ban on apps specifically built to digitally strip clothing from a photo with a single tap, turning any ordinary picture into fake nude or sexual imagery. Just upload a photo and the app does the rest, which is exactly the problem. The 15 MPs are not asking for the ban to be written, it already exists on the calendar, they're asking that it actually be enforced once it takes effect, rather than becoming a rule nobody checks.

How common is non-consensual deepfake content compared to other synthetic media?

Extremely common relative to other uses. Research cited alongside this story found that 96% of deepfake videos circulating online are pornographic, and the overwhelming majority target women, especially female entertainers and female politicians. Non-consensual deepfakes are not a rare edge case of AI misuse, they represent the dominant use of this technology in the wild right now, and better deepfake detection is the piece still catching up.

Are children being targeted by deepfake abuse too, not just public figures?

Yes, and at a scale that should worry every parent. A joint study by UNICEF, ECPAT, and INTERPOL across 11 countries found at least 1.2 million children reported having their images turned into sexually explicit deepfakes within the past year alone. This shows the abuse extends well past celebrities and politicians into ordinary kids' school photos and social media pictures.

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