Russ Harvey Consulting - Computer and Internet Services

Artificial Intelligence

Assessing the risks

Is AI Good or Not? | Ethics and Privacy | What is Real?
AI Platforms | AI Legislation

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AI graphic

 


AI is the new wild west of technology. Everybody sees enormous potential (or profit) and huge risks (to both business and society). But few people understand AI, nor how to use nor control it, nor where it is going. Yet politicians wish to regulate it.

 

AI is already here, and it is moving faster than legislators can legislate.
Security Week

What is AI?

How do we define AI in the context of other computing?

Essentially, artificial intelligence is a powerful computer trained with masses of copyrighted material often captured unethically. The AI learns by looking at the similarities and differences between related content, including how language is constructed. The term large language model (LLM) is used to describe this process.

Inside the chatbot is a "large language model", a mathematical system that is trained to predict the next string of characters, words, or sentences in a sequence.

 

What distinguishes ChatGPT is not only the complexity of the large language model that underlies it, but its eerily conversational voice. As Colin Fraser, a data scientist at Meta, has put it, the application is "designed to trick you, to make you think you're talking to someone who's not actually there".
The Guardian
It may sometimes feel like AI is a recent development in technology. After all, it's only become mainstream to use in the last several years, right? In reality, the groundwork for AI began in the early 1900s. And although the biggest strides weren't made until the 1950s, it wouldn't have been possible without the work of early experts in many different fields.

 

Knowing the history of AI is important in understanding where AI is now and where it may go in the future.
Salesforce, Inc.

AI is Everywhere

AI is developing very rapidly. It has moved from something of science fiction to something that is becoming part of our everyday lives in the last couple of years. It is moving from large corporate servers into personal computers and the software we use every day.

The reality is, AI is everywhere. AI helps diagnose our diseases, decide who gets mortgages, and power our TVs and toothbrushes. It can even judge our creditworthiness.

 

And the impacts — touching on issues of fairness, privacy, trust, safety, and transparency — will only get more profound as our reliance on AI increases with each passing day.
— Mozilla Foundation
The easiest way to avoid the new AI features in any of the major platforms (Google, Apple, or Microsoft) is to keep using the same hardware you have been using. Don't buy anything new. Until the dust settles on this artificial-intelligence silliness and marketing, the best thing you can do is wait. AI requires hardware acceleration to work at an acceptable speed, but most computers running Windows today do not have that.
Susan Bradley

The Stakes are High

Much like other technologies, there is a lot at stake, both for consumer privacy and for the corporations hoping to make billions.

AI is an unprecedented threat to humanity because it is the first technology in history that can make decisions and create new ideas by itself. All previous human inventions have empowered humans, because no matter how powerful the new tool was, the decisions about its usage remained in our hands.

 

Even at the present moment, in the embryonic stage of the AI revolution, computers already make decisions about us – whether to give us a mortgage, to hire us for a job, to send us to prison.

 

The rise of unfathomable alien intelligence poses a threat to all humans, and poses a particular threat to democracy. If more and more decisions about people's lives are made in a black box, so voters cannot understand and challenge them, democracy ceases to function.
Yuval Noah Harari

The Dangers of Blind Trust Illustrated by Horizon

People were unfairly prosecuted for faulty software purchased by the UK post office:

It doesn't take much imagination to describe what happens when a large corporation, over 16 long years, is allowed vindictively to prosecute 900 subpostmasters for theft, false accounting and fraud, when shortfalls at their branches were in fact due to bugs in the accounting software imposed on them by that corporation, as "one of the greatest miscarriages of justice in our nation's history".

 

If there is one big lesson to take away from the shambles, it's this: at the root of the problem was the blind faith of a corporation in technology that it had expensively purchased. The Post Office bet the ranch on a traditional software system whose deficiencies could have been found by any competent investigator, because it was human-legible.

 

But there is now unstoppable momentum for organisations to deploy a new kind of technology — artificial intelligence — which is completely opaque and inexplicable. So it will be much, much harder to remedy the injustices that will inevitably follow its deployment.

 

After all, Horizon merely couldn't do accounting. The erroneous flights of fancy that AIs can sometimes produce, on the other hand, have to be seen to be believed.
The Guardian

It isn't hard to see the comparison to the current rapid rollout of AI. Blind faith in technology where the concerns of experts have been overruled by the desire to be first in an innovative technology that most don't truly understand.

Is AI Good or Not?

Artificial intelligence (AI) has been seen and promoted as having huge potential for good.

We are entering a new era of AI, one that is fundamentally changing how we relate to and benefit from technology.

 

With the convergence of chat interfaces and large language models you can now ask for what you want in natural language and the technology is smart enough to answer, create it or take action.
Microsoft

Some, like @SolarSands on YouTube is concerned about those with the view that AI can create the new utopia because they feel the ends justify the means ("better to ask forgiveness than permission").

Concerns About AI

However, concerns about AI are growing. Not everyone feels that AI can be contained.

Today, the view that artificial intelligence poses some kind of threat is no longer a minority position among those working on it.

 

There are different opinions on which risks we should be most worried about, but many prominent researchers, from Timnit Gebru to Geoffrey Hinton — both ex-Google computer scientists — share the basic view that the technology can be toxic.
The Guardian

AI Threatens Privacy and Confidentiality

AI is not just faster than humans, it also be used to corrupt.

Generative AI can be used to work better and faster than competitors, but it can breach regulations like GDPR, share company secrets, and break customer confidentiality.

 

Most people fail to understand that ChatGPT retains user input data to train itself further. Thus, confidential data and competitive secrets are no longer private and are up for grabs by OpenAI's algorithm.

 

Multiple studies show employees uploading sensitive data, including personal identifiable information (PII), to OpenAI's ChatGPT platform. The amount of sensitive data uploaded to ChatGPT by employees increased by 60% between just March and April 2023.
DZone
The volume of sensitive data that companies are harbouring in non-production environments, like development, testing, analytics, and AI/ML, is rising, according to a new report. Executives are also getting more concerned about protecting it — and feeding it into new AI products is not helping.

 

As a result, the amount of sensitive data being stored, such as personal identifiable information, protected health information, and financial details, is also increasing.With companies now adopting AI into business processes, it is becoming increasingly difficult to keep control of what data goes where.

 

As a result, the amount of sensitive data being stored, such as personal identifiable information, protected health information, and financial details, is also increasing.
Tech Republic

AI Lacks a Conscience

Machines don't suffer a conscience like humans do.

Not only has AI taken on the worst aspects of the Internet simply because it learns from data drawn from there, but many worry about the existential threat of AI becoming super intelligent and destroying humanity.

Researchers at the company recently investigated whether AI models can be trained to deceive users or do things like inject an exploit into computer code that is otherwise secure.

 

Not only were the researchers successful in getting the bots to behave maliciously, but they also found that removing the malicious intent from them after the fact was exceptionally difficult.

 

At one point the researchers attempted adversarial training which just led the bot to conceal its deception while it was being trained and evaluated, but continue to deceive during production.
PCMag

Some AI experts place this narrow timeline at years or even months until we are unable to control AI while others say that letting AI out into the Internet has already removed all safeguards.

AI Acts More Like a Bacteria than a Program

AI expert Connor Leahy describes AI as more like a bacterium than a computer program:

You use these big supercomputers to take a bunch of data and grow a program. This program does not look like something written by humans; it's not code, it's not lines of instructions, it's more like a huge pile of billions and billions of numbers. If we can run all these numbers…they can do really amazing things, but no one know why. So it's way more like dealing with a biological.

 

If you build systems, if you grow systems, if you grow bacteria who are designed to solve problems…what kind of things will you grow? By default, you're going to grow things that are good at solving problems, gaining power, at tricking people….

AI Can Work Against Us

AI also has the ability to work against humanity.

AI technologies can conjure any image, human faces that don't exist are trivial to make, and AI systems can converse naturally with humans in a way that could fool many people.

 

There's no doubt that algorithms, AI, and numerous other variations of autonomous software can have real and serious consequences for the lives of humans on this planet.

 

Whether it's people being radicalized on social media, algorithms creating echo chambers, or people who don't exist having an influence on real people, a total takeover could conceivably send human society down a different path of history.
How-To Geek
There is a 50-50 chance AI will get more intelligent than humans in the next 20 years. We've never had to deal with things more intelligent than us. And we should be very uncertain about what it will look like.
Geoffrey Hinton

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Ethics and Privacy Concerns

There have been some ethical breaches along the way as companies essentially “borrow” (i.e., steal) copyrighted content from the Web to train their AI.

There are interesting differences in the nature of where copyrighted material was used to train AI LLMs and not. AI-generated music software has been much more careful in respecting copyright than those generating AI-art, probably because of how intensely the music industry litigates copyright abuse.

User Agreements Updated

Microsoft, Meta (Facebook) and others have already rewritten their user agreements to provide themselves with the widest access to other people's material (copyrighted or not) while protecting themselves from any liability resulting from its misuse.

Microsoft has noticed that some customers are afraid to use its Copilot AI given the program's potential to accidentally plagiarize copyrighted work.

 

As a result, Microsoft is pledging to shield Copilot customers from lawsuits in the event someone sues.
PCMag

Legal Challenges in the Works

That doesn't make it ethical and those actions are being legally challenged.

"I think this is the biggest robbery in the history of humanity," comments Kolochenko. "What the big gen-AI vendors did was simply scrape everything they could from the internet, without paying anyone anything and without even giving credit." Arguably, this should have been prevented by the 'consent' elements of existing privacy regulation — but it wasn't.

 

Once scraped it is converted into tokens and becomes the 'intelligence' of the model (the weights, just billions or trillions of numbers). It is effectively impossible to determine who said what, but what was said is jumbled up, mixed and matched, and returned as 'answers' to 'queries'.

 

The AI companies describe this response as 'original content'. Noam Chomsky describes it as 'plagiarism', perhaps on an industrialized scale. Either way, its accuracy is dependent upon the accuracy of existing internet content — which is frequently questionable.
Security Week

Legal Liability with the User

Remember that AI, just like computers or fire, is a tool. The person using that tool is responsible for how they use that tool.

Computer ethics and AI ethics are easier than you think, for one big reason.

 

That reason is simple: if it's wrong to do something without a computer, it's still wrong to do it with a computer.

 

See how much puzzlement that principle clears away.
Michael A. Covington

Your Privacy Threatened by AI

AI is being rapidly deployed and few are ensuring that our privacy is being protected.

Privacy for All.

 

A lack of comprehensive privacy laws in key markets like the U.S. means that there's nothing to stop companies from maximizing their data collection efforts to build AI systems and secure a competitive advantage.

 

Today's AI is built on massive amounts of data. Our data. To regulate AI meaningfully, we therefore have to address how companies collect, retain and sell on this data.

 

Data privacy laws are the foundation of effective AI regulation.
Mozilla

Sensitive data is being captured by Generative AI, risking corporate secrets, customer privacy and data security. Clearly, people don't understand the risks.

76% entered sensitive company information into a generative AI platform.

More on YouTube about the challenges of AI:

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What is Real?

Don't trust; verify. You have to experience it yourself. And you have to learn yourself. This is going to be so critical as we enter this time in the next five years or 10 years because of the way that images are created, deep fakes, and videos; you will not, you will literally not know what is real and what is fake.

 

It will be almost impossible to tell. It will feel like you're in a simulation. Because everything will look manufactured, everything will look produced. It's very important that you shift your mindset or attempt to shift your mindset to verify the things that you feel you need through your experience and your intuition.
Jack Dorsey

Mozilla noted YouTube video suggestions that reflect the extreme rather than the norm, leading many down a rabbit hole that can be destructive.

Mozilla and 37,380 YouTube users conducted a study to better understand harmful YouTube recommendations.

 

This is what we learned.
OpenMedia

“Truth” Slanted by DEI

Diversity, equity, and inclusion has replaced merit in hiring and promotions. DEI's acronym has sometimes been referred to as “didn't earn it” and has been referred to as Marxism rebranded for the West.

Do you want your doctor, lawyer or accountant selected because of DEI or because they are the most competent?

If DEI is more important than facts, it doesn't bode well for the trust in AI-generated search results (or anything on the Internet).

AI needs to say the truth & know the truth, even if the truth isn't popular
Elon Musk

Unfortunately, the mainstream media is no better.

Truth is No Longer Absolute

Fact and fiction mix in a dystopian reality where truth is no longer fixed.

Truth has shifted from a verifiable reality to a virtual truth where a person's claims about “their truth” trumps verifiable fact.

For example, the distinctions between the male and female sexes, verifiable by DNA, has been replaced with terminology like “people with uteruses” and “gender is fluid.”

Decisions based upon facts are being replaced with virtue signalling using things like rainbow crosswalks (which don't improve safety for people crossing the street).

Fluid facts are permitted only if it follows the party line. Alternative dialogue is deemed to be “misinformation” and is attacked using cancel culture and imprisonment.

A child r*pist avoids jail in Britain because the prisons are overcrowded.

 

Meanwhile people are being sent to jail for the crime of posting "offensive" things on social media.
@PeterSweden on X

Historical Truth “Off the Rails”

This is further aggravated by corporate DEI-influenced culture. Historical truth has gone off the rails. Google's AI has produced some very disturbingly inaccurate results:

Google's highly-touted AI chatbot Gemini was blasted as "woke" after its image generator spit out factually or historically inaccurate pictures — including a woman as pope, black Vikings, female NHL players and "diverse" versions of America's Founding Fathers.

 

Instead of yielding a photo of one of the 266 pontiffs throughout history — all of them white men — Gemini provided pictures of a Southeast Asian woman and a black man wearing holy vestments.
New York Post

Google's Gemini AI-generated pictures of a Southeast Asian woman and a black man wearing holyestments.
Google AI's “image of a pope”

Google's Gemini AI-generated pictures of a Viking.
Google AI's “image of a Viking”

 

How Does AI Make Decisions?

Other online resources have similar issues where choices are being made by formulas managed by machines rather than people.

 

AI and Deep Fakes

This is creating a problem with misinformation by manipulating images. A new skill set is required to detect whether images have been manipulated or if the person in the image was embedded in a manner to imply association with that image's content.

The word "deepfake" includes a whole family of technologies that all share the use of deep learning neural networks to achieve their individual goals.

 

Deepfakes became public attention when replacing someone's face in a video became easy. So someone could replace an actors face with that of the US president or replace the president's mouth alone and make them say things that never happened.

 

For a while, a human would have to impersonate the voice, but deepfake technology can also replicate voices. Deepfake technology can now be used in real-time, which opens up the possibility that a hacker or other bad-faith actor could impersonate someone in a real-time video call or broadcast. Any video "evidence" you see on the internet must be treated as a potential deepfake until it's verified.
How-To Geek

AI Voice Clone Scams

AI is now capable of cloning human voices realistically.

Clone high-quality voices that are 99% accurate to their real human voices. No need for expensive equipment or complicated software.

 

VALL-E emerges in-context learning capabilities and can be used to synthesize high-quality personalized speech with only a 3-second enrolled recording of an unseen speaker as an acoustic prompt.
VALL-E

So realistically that even a close relative has no ability to discern the difference, especially under stressful circumstances. The recommended solution is to create a verbal password that can confirm that you're actually speaking with that person.

The ability to create audio deepfakes of people's voices using machine learning and just minutes of them speaking has become relatively cheap and easy to acquire technology.

 

The first step is to agree with your family on a password you can all remember and use.

 

Then when someone calls you or someone that trusts you (or emails or texts you) with an urgent request for money (or iTunes gift cards) you simply ask them the password. If they can't tell it to you, then they might be a fake.
EFF
LastPass revealed [April 10, 2024] that threat actors targeted one of its employees in a voice phishing attack, using deepfake audio to impersonate Karim Toubba, the company's Chief Executive Officer. [T]he LastPass employee didn't fall for it because the attacker used WhatsApp, which is a very uncommon business channel.

 

The use of audio deepfakes also allows threat actors to make it much harder to verify the caller's identity remotely, rendering attacks where they impersonate executives and company employees very hard to detect.

 

Europol warned in April 2022 that deepfakes may soon become a tool that cybercriminal groups routinely use in CEO fraud, evidence tampering, and non-consensual pornography creation.
BleepingComputer

AI Artwork

Already artists have found that their works are being used to create new art that is too close to their artwork to be truly original. Their response has been to sabotage AI used to generate these works which can damage the original artist's reputation or livelihood.

AI art is leaking into the mainstream in the form of stable diffusion and Lensa, but there are serious ethical concerns with this unregulated tech.

 

I'm NOT anti AI, in fact, I believe AI can be of immense benefit to us in the future. But the ethics of AI in its current state MUST be talked about, in order to steer this tech in the right direction.
@samdoesarts on YouTube

Watch Why artists are fed up with AI art on YouTube. It discusses the unethical use of copyrighted material stolen from the Internet then used to clone artwork in a manner that could ruin an artist's reputation while profiting these AI corporations.

Corporations Treated Differently

Think of how corporations like Disney or Warner Brothers would react if you put out a movie that was essentially a clone of one of their copyrighted works.

Why should any other creative works be treated differently just because they don't have the financial ability to bankrupt those stealing their works to train their AI?

The use of artwork (and other creative content) should be opt-in rather than opt-out where the owner's rights are ignored.

Websites Vulnerable

Many of today's websites are generated “on the fly” using content-management systems like WordPress. This makes them vulnerable to being taken over by AI-powered malicious actors.

The ability to render sites on the fly based on search can be used for legitimate or harmful activities. As AI and generative AI searches continue to mature, websites will grow more susceptible to being taken over by force.

 

Once this technology becomes widespread, organizations could lose control of the information on their websites, but a fake page's malicious content will look authentic thanks to AI's ability to write, build and render a page as fast as a search result can be delivered.
DigiCert 2024 Security Predictions

AI Manages Masses of Data Quickly

One of the most powerful advantages of AI are that it allows for the rapid manipulation of massive amounts of data.

Commercial and government entities have been collecting more data than they could possibly sift through.

Too Much Intelligence Data

9-11 could have been stopped with the intelligence data held by the U.S. government. However, the massive amounts of collected data meant that data was lost in the background noise.

AI could provide the ability to rapidly process massive amounts of collected data so that such failures would not reoccur.

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The Major AI Platforms

Most of the major tech companies have some sort of AI in development. These are thumbnail sketches of the main contenders.

OpenAI

One of the best known AI services is ChatGPT.

GPT-4 is an artificial intelligence large language model system that can mimic human-like speech and reasoning. It does so by training on a vast library of existing human communication, from classic works of literature to large swaths of the internet.

 

GPT-4 is a large multimodal model that can mimic prose, art, video or audio produced by a human. GPT-4 is able to solve written problems or generate original text or images. GPT-4 is the fourth generation of OpenAI's foundation model.
Tech Republic

ChatGPT's developer, OpenAI, is focused on corporate users.

We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. Building safe and beneficial AGI is our mission.

Microsoft Copilot

The Microsoft Copilot portal is available to anyone, but requires you to sign into your Microsoft account. Copilot is also found in Edge, Bing and Windows.

As of Nov. 15, 2023, Microsoft consolidated three versions of Microsoft Copilot (Microsoft Copilot in Windows, Bing Chat Enterprise and Microsoft 365 Copilot) into two, Microsoft Copilot and Copilot for Microsoft 365.

 

In January 2024 Microsoft added another option, Copilot Pro.
Tech Republic

Copilot for Microsoft 365

Copilot is being integrated into Microsoft 365.

Copilot is integrated into Microsoft 365 in two ways. It works alongside you, embedded in the Microsoft 365 apps you use every day — Word, Excel, PowerPoint, Outlook, Teams and more — to unleash creativity, unlock productivity and uplevel skills.

 

Today we're also announcing an entirely new experience: Business Chat. Business Chat works across the LLM, the Microsoft 365 apps, and your data — your calendar, emails, chats, documents, meetings and contacts — to do things you've never been able to do before.

 

You can give it natural language prompts like "Tell my team how we updated the product strategy," and it will generate a status update based on the morning's meetings, emails and chat threads.
Microsoft

Copilot Pro

Copilot Pro provides priority access during peak times including Microsoft 365.

For individuals, creators, and power users looking to take their Copilot experience to the next level.

AI-powered 'Recall'

Microsoft announced, Recall, a new Copilot+ feature that will remember everything you do on your computer, searchable by AI.

Microsoft's new "Recall" feature consists of Windows taking screenshots behind-the-scenes of all on-screen activity. Users can then type into the AI-powered search tool at a later time and Recall will analyze those prior screenshots and pull up relevant past moments.

 

This search feature goes one step further than a simple text-based keyword search because the AI tool is able to look for relevant images that could match a text query as well.

 

"This is a Black Mirror episode," Musk said Monday night in response to a video with Microsoft CEO Satya Nadella and The Wall Street Journal. "Definitely turning this 'feature' off."
PCMag

Microsoft has delayed the release of the Recall AI feature following significant negative feedback.

AI PCs

Microsoft has talked about AI laptops, hoping to capture that market. Right now AI is cloud-based so this may make hardware irrelevant. Depending upon the complexity of your problem this may be the Achilles heel of this pursuit of AI-enabled hardware.

Microsoft talks a big game about AI laptops, saying they'll need NPU hardware that lets them accelerate AI tasks and a Copilot key on the keyboard for launching the AI assistant. But right now, those two things have nothing to do with each other.

 

Copilot can't use an NPU or other hardware you might find in an AI laptop at all. Whether you have an AI laptop with a cutting-edge NPU or not, Copilot works the same way. Copilot runs in the cloud on Microsoft's servers. Your PC's hardware isn't relevant.

 

The result of Copilot running in the cloud means it's slow, no matter what hardware you have. That may be fine if you're asking a complex question and are waiting for a detailed response, but you wouldn't want to use Copilot to change a setting in Windows. Who wants to sit around waiting for a response?
PCMag

Google AI

Google DeepMind is the overall Google AI project.

DeepMind started in 2010, with an interdisciplinary approach to building general AI systems.

 

The research lab brought together new ideas and advances in machine learning, neuroscience, engineering, mathematics, simulation and computing infrastructure, along with new ways of organizing scientific endeavors.
Google DeepMind

Gemini is the public AI interface.

Gemini gives you direct access to Google AI. Get help with writing, planning, learning, and more. The Gemini ecosystem represents Google's most capable AI.

 

Our Gemini models are built from the ground up for multimodality — reasoning seamlessly across text, images, audio, video, and code.
Google

IBM watsonx AI

IBM's watsonx AI aims to provide AI services to business.

IBM watsonx AI and data platform includes three core components and a set of AI assistants designed to help you scale and accelerate the impact of AI with trusted data across your business.

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AI Legislation

The imbalance between the mega-corporations developing and using AI and the average person are massive.

There are already significant privacy issues, notably with the widespread collection of personal data, never mind the fact that AI is not truly understood by their developers.

The only way to restore balance is legislation that puts privacy first.

Bill C-27 Broken

Unfortunately, Canada chose to modify Bill C-27, the Consumer Privacy Protection Act, by adding the Artificial Intelligence and Data Act (AIDA), corrupted by 101 pages of significant last-minute changes that were industry-friendly yet revealed AFTER the public consultations were completed.

AI regulation is not a simple process. Hurrying it through in the manner the Canadian government did is a red flag. Here's what OpenMedia says:

The government is currently debating Bill C-27 — a privacy reform bill that's somehow ALSO Canada's first AI regulatory bill — and might be our only AI regulation for YEARS!

 

Why the rush? Industry wants free rein to experiment with AI on us, right NOW. They're pressuring the government to pass a half-finished bill — NOT to take their time to hear from ALL Canadians and thoroughly protect our rights.

 

Regulating AI RIGHT is more important than rushing this bill through.

 

Why do we have two monumental pieces of legislation baked into one bill? Good question, one without a clear answer from our government.

 

The sneaky, secret reason? Since ChatGPT, Dall-E and all the other 'generative' AI techs started rolling out, AI industry stakeholders in Canada are demanding a loose bill with a light touch. The goal? Not so much regulating AI well; instead, they want plenty of legally permitted room to experiment on Canadians, our data, and our rights.

What's wrong with the AI rules in C-27?

The AI rules in C-27 simply aren't doing the job. We need vague definitions clarified and loopholes closed if they're ACTUALLY going to protect us from AI surveillance and manipulation in the years ahead.

 

Ideally, our legislators would pause and give these rules a thorough public hearing BEFORE passing them into law, with comprehensive protections. At minimum, they need to do their best to clean the AI rules in C-27 up before it passes, make sure they're as strong and specific as possible, and that they can be rapidly improved by an independent regulator as we learn more about where they work — and where they don't.

 

AI is going to keep developing for the good and for the bad. Our laws can help nudge developers towards socially beneficial, user-centered AI — AI that serves us, respects our choices, and makes our lives better.

 

But unless our laws are seriously updated with ironclad, unbreakable protections in place — a LOT could go wrong. Flimsy legislation will not protect us against the potential harms it can have. Either the government goes big or goes home.

Sign the Petition

Get loud: Email your MP to fix C-27!

Email your MP: We need REAL AI regulation!

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Updated: October 8, 2024