AI Regulation vs Innovation: Global Sector Leaders Weigh in
The AI sector faces a fundamental question over whether regulatory frameworks enhance or constrain technological development.
Today, industry leaders present conflicting perspectives on the balance between innovation and oversight.
The debate has intensified following recent regulatory developments, including the EU's AI Act and the dismissal of senior US copyright official Shira Perlmutter by US President Donald Trump in May.
Shira had proposed restrictions on unauthorised intellectual property use in AI model training.
The copyright dispute centres on training data used to develop large language models, which require vast datasets to learn patterns and generate responses.
The innovation vs regulation debate
Many AI companies have incorporated copyrighted material without explicit permission, leading to legal challenges from content creators and publishers.
“Donald Trump's termination of Register of Copyrights, Shira Perlmutter, is a brazen, unprecedented power grab with no legal basis,” says Joe Morelle, Member of the US House of Representatives.
“It is surely no coincidence he acted less than a day after she refused to rubber-stamp Elon Musk's efforts to mine troves of copyrighted works to train AI models.”
Ashley Braganza, Professor at the University of Brunel, challenges the premise that regulation and innovation represent opposing forces: “On the one hand you've got innovation, on the other you've got regulation.
“I think there's a false dichotomy here when these two things are set against each other
“It's not that you need one or the other, you need both. That message is starting to get through. It can't be a free-for-all.”
Meanwhile, several companies argue that regulatory frameworks can accelerate AI adoption by providing certainty for businesses and consumers.
Tim Clement-Jones, Member of the UK's House of Lords says: “Many potential AI adopters are hesitating not due to technological limitations but uncertainties about liability, ethical boundaries and public acceptance.”
Salesforce builds “trust layer” whilst Heathrow emphasises customer expectations
The aviation sector provides evidence of how regulation can coexist with technological advancement.
Peter Burns, Director of Marketing, Digital & eCommerce at Heathrow Airport, the UK’s busiest airport – and describes how regulatory compliance supports customer confidence in digital services.
The company has implemented digital services alongside physical operations, requiring compliance with both aviation and data protection frameworks.
“We're a very heavily regulated business,” Peter says.
“In the physical space of an airport, people want to feel reassured — it's the same with a digital space. It's what customers expect. They wouldn't use our airport and they wouldn't use our digital services if we didn't have that.”
Salesforce has embedded regulatory considerations into its AI product development. The company operates platforms that manage customer data for businesses across multiple sectors, requiring compliance with privacy regulations globally.
The company's Agentforce AI assistant incorporates what it terms a “trust layer” designed to filter biases and protect personal information.
This trust layer uses machine learning (ML) algorithms to identify and remove potentially problematic content before it reaches end users.
“We knew that that was an absolute table stake for our customers to be able to trust the technology,” says Zahra Bahrololoumi, CEO for the UK & Ireland at Salesforce.
XPRIZE Foundation warns against regulatory flight risk
Regulatory uncertainty presents challenges for companies planning long-term AI investments.
Ashley says: “Companies put in a big investment, two years down the line they find that some regulation comes in which means that their big investment doesn't add up to very much.”
This uncertainty can reduce innovation investment as companies delay projects pending regulatory clarity – as the solution requires predictable frameworks that enable business planning whilst maintaining oversight.
“The goal isn't whether to regulate AI, but how to regulate it promoting both innovation and responsibility,” Tim says.
“We need principles-based rather than overly prescriptive regulation, assessing risk and emphasising transparency and accountability without stifling creativity.”
Principles-based regulation establishes broad guidelines that companies must follow whilst allowing flexibility in implementation methods. This approach contrasts with prescriptive regulation that specifies exact compliance procedures for each scenario.
Peter Diamandis, Founder & Chairman of the XPRIZE Foundation, warns: “If the government regulates against the use of drones or stem cells or AI, all that means is that the work and the research leave the borders of that country and go someplace else.”
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