The UK government gets it spectacularly wrong on AI – just 3% of the public agree with its stance on copyright law changes

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  • Just 3% of public respondents supported the UK government's preferred copyright plan for AI training
  • Over 88% want AI developers to get explicit permission before using copyrighted work
  • Creators across the UK are pushing back hard against opt-out schemes they say undermine their rights

When the UK government launched a public consultation on AI and copyright in early 2025, it likely didn’t expect to receive a near-unanimous dressing-down. But of the roughly 10,000 responses submitted through its official “Citizen Space” platform, just 3% supported the government’s preferred policy for regulating how AI uses copyrighted material for training. A massive 88% backed a stricter approach focused on rights-holders.

The survey asked for opinions on four possible routes the UK might take to address what rules should apply when AI developers train their models on books, songs, art, and other copyrighted works. The government’s favored route was labeled Option 3 and offered a compromise where AI developers had a default right to use copyrighted material as long as they disclosed what they used, and offered a way for those with the rights to the material to opt out. But most who responded disagreed.

Option 3 received the least support. Even the “do nothing” option of just leaving the law vague and inconsistent polled better. More people would prefer no reform at all than accept the government's suggestion. That level of disapproval is hard to spin.

It's a triumph for the campaign by writers’ unions, music industry groups, visual artists, and game developers seeking exactly this result. They spent months warning about a future where creative work becomes free fuel for unlicensed AI engines.

The artists argued that the fight was over consent as much as royalties. They argued that having creative work swept up into a training dataset without permission means the damage is done, even if you can opt out months later. And they pointed out that the UK’s copyright laws weren’t built for AI. Copyright in the UK is automatic, not registered, which is great for flexibility, but tough for any enforcement, as there's no central database of copyright ownership.

AI protections

Officials crafted Option 3 to try to appease all sides. The government's stated aim was to stimulate AI innovation while still respecting creators. A transparent opt-out mechanism would let developers build useful models while giving artists a way to refuse. But it ultimately felt to many creators like all the burden fell on them, and they would have to constantly monitor how their work is used, sometimes across borders, languages, and platforms they’ve never heard of.

That's likely why 88% of respondents went for requiring licenses for everything as their preferred choice. If an AI model were to be implemented, wanting to train on your book, your voice, your illustration, or your photography, it would have to ask, and potentially pay first.

A final report and economic impact assessment from the government is due in March. It will evaluate the legal, commercial, and cultural implications of each option. Officials say they will consider input from creators, tech firms, small businesses, and other stakeholders. Clearly the government's hope to smoothly start implementing its prefeerred appraoch won't happen.

For now, the confusing status quo remains. Without a court ruling or legislative fix, uncertainty reigns. AI developers don’t know what’s allowed. Creators don’t know what’s protected. Everyone’s waiting for clarity that keeps getting delayed.

What happens next could shape the UK’s digital economy for years. If officials side with the 3% who backed their initial plan, they risk alienating the very creators whose work is so valuable. But stronger licensing rules would undoubtedly face resistance from AI startups and international tech firms. Either way, the fighting is far from over.


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Eric Hal Schwartz
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Eric Hal Schwartz is a freelance writer for TechRadar with more than 15 years of experience covering the intersection of the world and technology. For the last five years, he served as head writer for Voicebot.ai and was on the leading edge of reporting on generative AI and large language models. He's since become an expert on the products of generative AI models, such as OpenAI’s ChatGPT, Anthropic’s Claude, Google Gemini, and every other synthetic media tool. His experience runs the gamut of media, including print, digital, broadcast, and live events. Now, he's continuing to tell the stories people want and need to hear about the rapidly evolving AI space and its impact on their lives. Eric is based in New York City.

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