Connect with us

Artificial Intelligence

Save Taylor Swift. Stop deep-fake porn: Peter Menzies

Published

8 minute read

Photo by Michael Hicks, via Flickr

From the MacDonald Laurier Institute

By Peter Menzies

Tweak an existing law to ensure AI-generated porn that uses the images of real people is made illegal.

Hey there, Swifties.

Stop worrying about whether your girl can make it back from a tour performance in Tokyo in time to cheer on her boyfriend in Super Bowl LVIII.

Please shift your infatuation away from  your treasured superstar’s romantic attachment to Kansas City Chiefs’ dreamy Travis Kelce and his pending battle with the San Francisco 49ers. We all know Taylor Swift’ll be in Vegas for kickoff on Feb. 11. She’ll get there. Billionaires always find a way. And, hey, what modern woman wouldn’t take a 27-hour round trip flight to hang out with a guy ranked #1 on People’s sexiest men in sports list?

But right now, Swifties, Canada needs you to concentrate on something more important than celebrity canoodling. Your attention needs to be on what the nation’s self-styled feminist government should be doing to protect Swift (and all women) from being “deep-faked” into online porn stars.

Because that’s exactly what happened to the multiple Grammy Award-winner last week when someone used artificial intelligence to post deep-fakes (manipulated images of bodies and faces) of her that spread like a coronavirus across the internet. Swift’s face was digitally grafted onto the body of someone engaged in sexual acts/poses in a way that was convincing enough to fool some into believing that it was Swift herself. Before they were contained, the deep-fakes were viewed by millions. The BBC reported that one single “photo” had accumulated 47 million views.

For context, a 2019 study by Deeptrace Labs identified almost 15,000 deep-fakes on streaming and porn sites — twice as many as the previous year — and concluded that 96 per cent were recreations of celebrity women. Fair to assume the fakes have continued to multiply like bunnies in spring time.

In response to the Swift images, the platform formerly known as Twitter — X — temporarily blocked searches for “Taylor Swift” as it battled to eliminate the offending depictions which still found ways to show up elsewhere.

X said it was “actively removing” the deep-fakes while taking “appropriate actions” against those spreading them.

Meta said it has “strict policies that prohibit this kind of behavior” adding that it also takes “several steps to combat the spread of AI deepfakes.”

Google Deepmind launched an initiative last summer to improve detection of AI-generated images but critics say it, too, struggles to keep up.

While the creation of images to humiliate women goes back to the puerile pre-internet writing of “for a good time call” phone numbers on the walls of men’s washrooms, the use of technology to abuse women shows how difficult it is for governments to keep pace with change. The Americans are now pondering bipartisan legislation to stop this, the Brits are boasting that such outrageousness is already covered by their Online Safety Act and Canada so far ….  appears to be doing nothing.

Maybe that’s because it thinks that Section 162 of the Criminal Code, which bans the distribution or transmission of intimate images without permission of the person or people involved, has it covered.

To wit, “Everyone who knowingly publishes, distributes, transmits, sells, makes available or advertises an intimate image of a person knowing that the person depicted in the image did not give their consent to that conduct, or being reckless as to whether or not that person gave their consent to that conduct, is guilty of an indictable offence and liable to imprisonment for a term of not more than five years.”

Maybe Crown prosecutors are confident they can talk judges into interpreting that legislation in a fashion that brings deep-fakes into scope. It’s not like eminent justices haven’t previously pondered legislation — or the Charter for that matter— and then “read in” words that they think should be there.

Police in Winnipeg recently launched an investigation in December when AI-generated fake photos were spread. And a Quebec man was convicted recently when he used AI to create child porn — a first.

But anytime technology overrides the law, there’s a risk that the former turns the latter into an ass.

Which means there’s a real easy win here for the Justin Trudeau government which, when it comes to issues involving the internet, has so far behaved like a band of bumbling hillbillies.

The Online Streaming Act, in two versions, was far more contentious than necessary because those crafting it clearly had difficulty grasping the simple fact that the internet is neither broadcasting nor a cable network. And the Online News Act, which betrayed a complete misunderstanding of how the internet, global web giants and digital advertising work, remains in the running for Worst Legislation Ever, having cost the industry it was supposed to assist at least $100 million and helped it double down on its reputation for grubbiness.

Anticipated now in the spring after being first promised in 2019, the Online Harms Act has been rattling around the Department of Heritage consultations since 2019. Successive heritage ministers have failed to craft anything that’ll pass muster with the Charter of Rights and Freedoms so the whole bundle is now with Justice Minister Arif Virani, who replaced David Lametti last summer.

The last thing Canada needs right now is for the PMO to jump on the rescue Taylor Swift bandwagon and use deep-fakes as one more excuse to create, as it originally envisioned, a Digital Safety czar with invasive ready, fire, aim powers to order take downs of anything they find harmful or hurtful. Given its recent legal defeats linked to what appears to be a chronic inability to understand the Constitution, that could only end in yet another humiliation.

So, here’s the easy win. Amend Section 162 of the Criminal Code so that the use of deep-fakes to turn women into online porn stars against their will is clearly in scope. It’ll take just a few words. It’ll involve updating existing legislation that isn’t the slightest bit contentious. Every party will support it. It’ll make you look good. Swifties will love you.

And, best of all, it’ll actually be the right thing to do.

Peter Menzies is a senior fellow with the Macdonald-Laurier Institute, past vice-chair of the CRTC and a former newspaper publisher.

Todayville is a digital media and technology company. We profile unique stories and events in our community. Register and promote your community event for free.

Follow Author

Artificial Intelligence

What are data centers and why do they matter?

Published on

From The Center Square

By

Data centers may not be visible to most Americans, but they are shaping everything from electricity use to how communities grow.

These facilities house the servers that process nearly all digital activity, from online shopping and streaming to banking and health care. As the backbone of artificial intelligence and cloud computing, they have expanded at a pace few other industries can match.

Research from Synergy Research Group shows the number of hyperscale data centers worldwide doubled in just five years, reaching 1,136 by the end of 2024. The U.S. now accounts for 54% of that total capacity, more than China and Europe combined. Northern Virginia and the Beijing metro area together make up about 20% of the global market.

John Dinsdale, chief analyst with Synergy Research, said in an email to The Center Square that a simple way to describe data centers is to think of them as part of a food chain.

“At the bottom of the food chain, you’re sitting at your desk with a desktop PC or laptop. All the computing power is on your device,” Dinsdale said.

The next step up is a small office server room, which provides shared storage and applications for employees.

“Next up the chain, you can go two different directions (or use a mix),” he explained.

One option is a colocation data center, where companies lease space instead of running their own physical facilities. That model can support a multitude of customers from a single operator, such as Equinix.

The other option is to move to public cloud computing.

“You buy access to computing resources only when you need them, and you only pay for what you use,” Dinsdale said.

Providers like Amazon, Microsoft and Google run massive data centers that support tens of thousands of servers. From the customer perspective, it may feel like having a private system, but in reality, these servers are shared resources supporting many organizations.

Cloud providers now operate at a scale that was “unthinkable ten years ago” and are referred to in the industry as hyperscale, Dinsdale added. These global networks of data centers support millions of customers and users.

“The advent of AI is pushing those data centers to the next level — way more sophisticated technology, and data centers that need to become a lot more powerful,” he said.

What is a data center?

At its simplest, a data center is a secure building filled with rows of servers that store, process and move information across the internet. Almost every digital action passes through them.

“A data center is like a library of server computers that both stores and processes a lot of internet and cloud data we use every day,” said Dr. Ali Mehrizi-Sani, director of the Power and Energy Center at Virginia Tech told The Center Square. “Imagine having thousands of high-performance computers working nonstop doing heavy calculations with their fans on. That will need a lot of power.”

Some are small enough to serve a hospital or university. Others, known as hyperscale facilities, belong to companies such as Amazon, Microsoft, Google and Meta, with footprints large enough to be measured in megawatts of electricity use.

How big is the industry?

Synergy’s analysis shows how dominant the U.S. has become. Fourteen of the world’s top 20 hyperscale data center markets are in the U.S., including Northern Virginia, Dallas and Silicon Valley. Other global hotspots include Greater Beijing, Dublin and Singapore.

In 2024 alone, 137 new hyperscale centers came online, continuing a steady pace of growth. Average facility size is also climbing. Synergy forecasts that total capacity could double again in less than four years, with 130 to 140 new hyperscale centers added annually.

The world’s largest operators are American technology giants. Amazon, Microsoft and Google together account for 59% of hyperscale capacity, followed by Meta, Apple, and companies such as Alibaba, Tencent and ByteDance.

How much power do they use?

Large data centers run by the top firms typically require 30 to 100 megawatts of power. To put that into perspective, one megawatt can power about 750 homes. That means a 50-70 megawatt facility consumes as much electricity as a small city.

“Building one data center is like adding an entirely new town to the grid,” Mehrizi-Sani said. “In fact, in Virginia, data centers already consume about 25% of the electricity in the state. In the United States, that number is about 3 to 4%.”

That demand requires extensive coordination with utilities.

“Data centers connect to the power grid much like other large loads, like factories and even towns do,” Mehrizi-Sani said. “Because they need so much electric power, utilities have to upgrade substations, lines and transformers to support them. Utilities also have to upgrade their control and protection equipment to accommodate the consumption of data centers.”

If not planned carefully, he added, new facilities can strain local power delivery and generation capacity. That is why every major project must undergo engineering reviews before connecting to the grid.

Why now?

The rapid rise of AI has supercharged an already fast-growing sector. Training models and running cloud services requires enormous computing power, which means facilities are being built faster and larger.

“AI and cloud drive the need to data centers,” Mehrizi-Sani said. “Training AI models and running cloud services require massive computing power, which means new data centers have to be built faster and larger than before.”

Dinsdale noted in a report that the industry’s scale has shifted sharply.

“The big difference now is the increased scale of growth. Historically the average size of new data centers was increasing gradually, but this trend has become supercharged in the last few quarters as companies build out AI-oriented infrastructure,” he said.

Why certain states lead the market

Different states and regions offer different advantages. According to a July 2025 report by Synergy Energy Group, Virginia became the leading hub because of relatively low electricity costs when the industry was expanding, availability of land in the early years and proximity to federal agencies and contractors.

Texas and California are also major markets, for reasons ranging from abundant energy to the presence of technology companies.

Internationally, Synergy’s analysis shows that China and Europe each account for about a third of the remaining capacity. Analysts expect growth to spread to other U.S. regions, including the South and Midwest, while markets in India, Australia, Spain and Saudi Arabia increase their share globally.

What is at stake?

For most Americans, data centers are invisible but indispensable. Almost everything digital depends on them.

“Streaming movies, online banking, virtual meetings and classes, weather forecasts, navigation apps, social media like Instagram, online storage and even some healthcare services” all run through data centers, Mehrizi-Sani said.

Synergy’s forecast suggests the trend is unlikely to slow.

“It is also very clear that the United States will continue to dwarf all other countries and regions as the main home for hyperscale infrastructure,” Dinsdale said.

This story is the first in a Center Square series examining how data centers are reshaping electricity demand, costs, tax incentives, the environment and national security.

Continue Reading

Artificial Intelligence

Schools should keep AI in its proper place

Published on

From the Fraser Institute

By Michael Zwaagstra

At the dawn of a new schoolyear, the issue of artificial intelligence (AI) looms large. But innovations have always been a part of classroom instruction.

For example, calculators changed the face of math class forever. Kind of.

Before the invention of calculators, all math equations were done manually. Calculators changed things by making it possible to solve complex equations in seconds and often without thinking much about the problem. All you had to do was punch in the correct numbers and—presto—the answer magically popped up on the screen.

Naturally, this led to some debate among teachers. Some thought there was no longer a need for students to memorize math facts including multiplication tables, while others argued that learning basic skills was still important, regardless of whether calculators were available or not.

With the benefit of several decades of hindsight, the evidence is clear that students still should learn basic math facts. While calculators make it possible to solve equations quickly, students who don’t know, by memory, the order of operations, or basic math facts such as multiplication tables, struggle to solve complex equations.

That’s because people have only a limited amount of working memory available at any given time. By committing basic math facts to their long-term memories, students can free up space in their working memories to tackle challenging math questions. In short, it would be a huge mistake to allow students to get away with not mastering important math skills.

Fast-forward to the present challenge of AI. Just as calculators made it easier to solve math equations, AI programs such as ChatGPT can perform research, correct grammar, and even write essays for students in a matter of seconds.

This leads to an obvious question: What should schools do about students using AI? Some schools have tried to ban AI entirely while others embrace it as a regular tool just like a pencil or a pen. Simply put, AI creates even more ethical questions and instructional challenges for teachers than calculators ever did when they were first introduced in classrooms.

Rather than bury our collective heads in the sand, we should tackle the problem of AI head on.

One of the most important things we can do is identify which activities are immune to AI’s influence. Frankly, this is why in-person tests and exams are more important than ever. If tests are written with pen and paper under a teacher’s supervision, students will not be able to use AI to formulate answers. Thus, rather than abolish tests and exams, with the advent of AI programs, we must embrace formal tests and exams even more than before. And we must use them more regularly.

As for regular assignments, schools should have students complete as much of their work in class as possible. For assignments that must be completed at home, teachers should design questions that are as “AI-proof” as possible. For example, asking students to answer specific questions about something discussed in class is much better than having them write a generic essay on a famous person’s life.

Teachers will need to redesign assignments so that they cannot be easily completed by AI. Students are naturally inclined to follow the path of least resistance. So it’s important for teachers to make it hard for them to get AI to do their homework. That way, most students will conclude it’s better to do the assignment themselves rather than have AI do it for them.

Finally, it makes good sense to allow students to use AI as a tool on some assignments. Since AI is already being used by many professionals to make their jobs easier, it’s a good idea to teach students appropriate ways to use AI. The key is to ensure that students know the difference between using AI as a resource and using it to cheat on an assignment.

AI is here to stay, but that doesn’t mean schools should let this new technology take over the classroom. The key is to keep AI in its proper place.

Michael Zwaagstra

Senior Fellow, Fraser Institute
Continue Reading

Trending

X