̽��ֱ�� of Cambridge - Ann Kristin Glenster

Forcing UK creatives to ‘opt out’ of AI training risks stifling new talent, Cambridge experts warn

fpjl2 — Thu, 20 Feb 2025 07:56:32 +0000

̽��ֱ��UK government should resist allowing AI companies to scrape all copyrighted works unless the holder has actively ‘opted out’, as it puts an unfair burden on up-and-coming creative talents who lack the skills and resources to meet legal requirements.

This is according to a new report from ̽��ֱ�� of Cambridge experts in economics, policy and machine learning, who also argue the UK government should clearly state that only a human author can hold copyright – even when AI has been heavily involved.

A collaboration between three Cambridge initiatives – the Minderoo Centre for Technology and Democracy, the Bennett Institute for Public Policy, and ai@cam – the report argues that unregulated use of generative AI will not guarantee economic growth, and risks damaging the UK’s thriving creative sector.

If the UK adopts the proposed ‘rights reservation’ for AI data mining, rather than maintaining the legal foundation that automatically safeguards copyright, it will compromise the livelihoods of many in the sector, particularly those just starting out, say researchers.

They argue that it risks allowing artistic content produced in the UK to be scraped for endless reuse by offshore companies.

“Going the way of an opt-out model is telling Britain’s artists, musicians, and writers that tech industry profitability is more valuable than their creations,” said Prof Gina Neff, Executive Director at the Minderoo Centre for Technology and Democracy.

“Ambitions to strengthen the creative sector, bolster the British economy and spark innovation using GenAI in the UK can be achieved – but we will only get results that benefit all of us if we put people’s needs before tech companies.”

'Ingested' by technologies

Creative industries contribute around £124.6 billion or 5.7% to the UK’s economy, and have a deep connection to the tech industry. For example, the UK video games industry is the largest in Europe, and contributed £5.12 billion to the UK economy in 2019.

While AI could lead to a new generation of creative companies and products, the researchers say that little is currently known about how AI is being adopted within these industries, and where the skills gaps lie.

“ ̽��ֱ��Government ought to commission research that engages directly with creatives, understanding where and how AI is benefiting and harming them, and use it to inform policies for supporting the sector’s workforce,” said Neil Lawrence, DeepMind Professor of Machine Learning and Chair of ai@cam.

“Uncertainty about copyright infringement is hindering the development of Generative AI for public benefit in the UK. For AI to be trusted and widely deployed, it should not make creative work more difficult.”

In the UK, copyright is vested in the creator automatically if it meets the legal criteria. Some AI companies have tried to exploit ‘fair dealing’ – a loophole based around use for research or reporting – but this is undermined by the commercial nature of most AI.

Now, some AI companies are brokering licensing agreements with publishers, and the report argues this is a potential way to ensure creative industries are compensated.

While rights of performers, from singers to actors, currently cover reproductions of live performances, AI uses composites harvested from across a performer’s oeuvre, so rights relating to specific performances are unlikely to apply, say researchers.

Further clauses in older contracts mean performers are having their work ‘ingested’ by technologies that didn’t exist when they signed on the dotted line.

̽��ֱ��researchers call on the government to fully adopt the Beijing Treaty on Audio Visual Performance, which the UK signed over a decade ago but is yet to implement, as it gives performers economic rights over all reproduction, distribution and rental.

" ̽��ֱ��current lack of clarity about the licensing and regulation of training data use is a lose-lose situation. Creative professionals aren't fairly compensated for their work being used to train AI models, while AI companies are hesitant to fully invest in the UK due to unclear legal frameworks,” said Prof Diane Coyle, the Bennett Professor of Public Policy.

“We propose mandatory transparency requirements for AI training data and standardised licensing agreements that properly value creative works. Without these guardrails, we risk undermining our valuable creative sector in the pursuit of uncertain benefits from AI."

'Spirit of copyright law'

̽��ֱ��Cambridge experts also look at questions of copyright for AI-generated work, and the extent to which ‘prompting’ AI can constitute ownership. They conclude that AI cannot itself hold copyright, and the UK government should develop guidelines on compensation for artists whose work and name feature in prompts instructing AI.

When it comes to the proposed ‘opt-out’ solution, the experts it is not “in the spirit of copyright law” and is difficult to enforce. Even if creators do opt out, it is not clear how that data will be identified, labelled, and compensated, or even erased.

It may be seen as giving ‘carte blanche’ to foreign-owned and managed AI companies to benefit from British copyrighted works without a clear mechanism for creators to receive fair compensation.

“Asking copyright reform to solve structural problems with AI is not the solution,” said Dr Ann Kristin Glenster, Senior Policy Advisor at the Minderoo Centre for Technology and lead author of the report.

“Our research shows that the business case has yet to be made for an opt-out regime that will promote growth and innovation of the UK creative industries.

“Devising policies that enable the UK creative industries to benefit from AI should be the Government’s priority if it wants to see growth of both its creative and tech industries,” Glenster said.

̽��ֱ��UK government’s proposed ‘rights reservation’ model for AI data mining tells British artists, musicians, and writers that “tech industry profitability is more valuable than their creations” say leading academics.

We will only get results that benefit all of us if we put people’s needs before tech companies

Gina Neff

Kal Visuals - Unsplash

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

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UK needs AI legislation to create trust so companies can ‘plug AI into British economy’

fpjl2 — Mon, 16 Oct 2023 06:20:05 +0000

̽��ֱ��British government should offer tax breaks for businesses developing AI-powered products and services, or applying AI to their existing operations, to 'unlock the UK’s potential for augmented productivity', according to a new ̽��ֱ�� of Cambridge report.

Researchers argue that the UK currently lacks the computing capacity and capital required to build 'generative' machine learning models fast enough to compete with US companies such as Google, Microsoft or Open AI.

Instead, they call for a UK focus on leveraging these new AI systems for real-world applications – such as developing new diagnostic products and addressing the shortage of software engineers – which could provide a major boost to the British economy.

However, the researchers caution that without new legislation to ensure the UK has solid legal and ethical AI regulation, such plans could falter. British industries and the public may struggle to trust emerging AI platforms such as ChatGPT enough to invest time and money into skilling up.

̽��ֱ��policy report is a collaboration between Cambridge’s Minderoo Centre for Technology and Democracy, Bennett Institute for Public Policy, and ai@cam: the ̽��ֱ��’s flagship initiative on artificial intelligence.

“Generative AI will change the nature of how things are produced, just as what occurred with factory assembly lines in the 1910s or globalised supply chains at the turn of the millennium,” said Dame Diane Coyle, Bennett Professor of Public Policy. “ ̽��ֱ��UK can become a global leader in actually plugging these AI technologies into the economy.”

Prof Gina Neff, Executive Director of the Minderoo Centre for Technology and Democracy, said: “A new Bill that fosters confidence in AI by legislating for data protection, intellectual property and product safety is vital groundwork for using this technology to increase UK productivity.”

Generative AI uses algorithms trained on giant datasets to output original high-quality text, images, audio, or video at ferocious speed and scale. ̽��ֱ��text-based ChatGPT dominated headlines this year. Other examples include Midjourney, which can conjure imagery in any different style in seconds.

Networked grids – or clusters – of computing hardware called Graphics Processing Units (GPU) are required to handle the vast quantities of data that hone these machine-learning models. For example, ChatGPT is estimated to cost $40 million a month in computing alone. In the spring of this year, the UK chancellor announced £100 million for a “Frontier AI Taskforce” to scope out the creation of home-grown AI to rival the likes of Google Bard.

However, the report points out that the supercomputer announced by the UK chancellor is unlikely to be online until 2026, while none of the big three US tech companies – Amazon, Microsoft or Google – have GPU clusters in the UK.

“ ̽��ֱ��UK has no companies big enough to invest meaningfully in foundation model development,” said report co-author Sam Gilbert. “State spending on technology is modest compared to China and the US, as we have seen in the UK chip industry.”

As such, the UK should use its strengths in fin-tech, cybersecurity and health-tech to build software – the apps, tools and interfaces – that harnesses AI for everyday use, says the report.

“Generative AI has been shown to speed up coding by some 55%, which could help with the UK’s chronic developer shortage,” said Gilbert. “In fact, this type of AI can even help non-programmers to build sophisticated software.”

Moreover, the UK has world-class research universities that could drive progress in tackling AI stumbling blocks: from the cooling of data centres to the detection of AI-generated misinformation.

At the moment, however, UK organisations lack incentives to comply with responsible AI. “ ̽��ֱ��UK’s current approach to regulating generative AI is based on a set of vague and voluntary principles that nod at security and transparency,” said report co-author Dr Ann Kristin Glenster.

“ ̽��ֱ��UK will only be able to realise the economic benefits of AI if the technology can be trusted, and that can only be ensured through meaningful legislation and regulation.”

Along with new AI laws, the report suggests a series of tax incentives, such as an enhanced Seed Enterprise Investment Scheme, to increase the supply of capital to AI start-ups, as well as tax credits for all businesses including generative AI in their operations. Challenge prizes could be launched to identify bottom-up uses of generative AI from within organisations.

Legislating for AI safety and transparency will allow British industry and education to put resources into AI development with confidence, argue researchers.

̽��ֱ��UK can become a global leader in actually plugging these AI technologies into the economy

Diane Coyle

Getty/BlackJack3D

Data Tunnel

̽��ֱ��text in this work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Images, including our videos, are Copyright © ̽��ֱ�� of Cambridge and licensors/contributors as identified. All rights reserved. We make our image and video content available in a number of ways – as here, on our main website under its Terms and conditions, and on a range of channels including social media that permit your use and sharing of our content under their respective Terms.

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