AI Safety

Julie Minns Excerpts

Wednesday 10th December 2025 Westminster Hall

[Iqbal Mohamed]

The enforcement processes that we have for existing regulations where human beings are providing that service are auditable. We do not have enforcement mechanisms for this kind of regulated service or information being provided by the internet or AI tools. There is a need to extend the scope of regulation but also the way in which we enforce that regulation for automated tools.

I am a fan of innovation, growth and progress in society. However, we cannot move forward with progress at any cost. AI poses such a significant risk that if we do not regulate at the right time, we will not have a chance to get it back under control—it might be too late. Now is the time to start looking at this seriously and supporting the AI industry so that it is a force for good in society, not a future force of destruction.

We are all facing a climate and nature emergency. AI is driving unprecedented growth in energy demand. According to the International Energy Agency, global data-centre electricity consumption will become slightly more than Japan’s total electricity consumption today. A House of Commons Library research briefing found that UK data centres currently consume 2.5% of the country’s electricity, with the sector’s consumption expected to rise fourfold by 2030. The increased demand strains the grid, slows transition to renewables and contributes to emissions that drive climate change. This issue must go hand in hand with our climate change obligations.

Members have probably heard and read about AI’s impact on the job market. One of the clearest harms we are already seeing is the loss of jobs. That is not a future worry; it is happening now. Independent analysis shows that up to 8 million UK jobs are at risk from AI automation, with admin, customer service and junior professional roles being the most exposed. Another harm that we are already facing is the explosion of AI-driven scams. Generative AI-enabled scams have risen more than 450% in a single year, alongside a major surge in breached personal data and AI-generated phishing attempts. Deepfake-related fraud has increased by thousands of per cent, and one in every 20 identity-verification failures is now linked to AI manipulation.

I move on to the ugly: the threat to the world. The idea that AI developers may lose control of the AI systems they create is not science fiction; it is the stated concern of the scientists who build this technology—the godfathers of AI, as we call them. One of them, Yoshua Bengio, has said:

“If we build AIs that are smarter than us and are not aligned with us and compete with us, then we’re basically cooked”.

Geoffrey Hinton, another godfather of AI and a winner of the Nobel prize in physics, said:

“I actually think the risk is more than 50% of the existential threat”.

Stuart Russell, the author of the standard AI textbook, says that if we pursue our current approach

“then we will eventually lose control over the machines.”

In May 2023, hundreds of AI researchers and industry leaders signed a statement declaring:

“Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war”.

That is not scaremongering; these are professional experts who are warning us to make sure that this technology does not get out of control.

[Ms Julie Minns (Carlisle) (Lab)]

On the hon. Gentleman’s point about risk, I want to highlight another area that has been brought to my attention by the British sign language community, which is concerned that the design of AI BSL is not necessarily including BSL users. In a visual language that relies on expression, tone and gestures, the risk of mistranslation is considerable for that particular community. Has the hon. Gentleman considered how we best involve other communities in the use of AI when it is generating language translation specific to them?

[Iqbal Mohamed]

The hon. Member touches on a broader point: any area with experts and specialist requirements for end users or for the use of that tool for an audience or demographic must directly involve those people and experts in the development, testing, verification and follow-up auditing of the effectiveness of those tools.

AI companies are racing to build increasingly capable AI with the explicit end goal of creating AI that is equal to or able to exceed the most capable human intellectual ability across all domains. AI companies are also pursuing AI that can be used to accelerate their own AI developments, so it is a self-developing, self-perpetuating technology. For that reason, many experts, some of whom I have quoted, say that this will lead to artificial super-intelligence soon after. ASI is an AI system that significantly exceeds the upper limit of human intellectual ability across all domains. The concerns, risks and dangers of AI are current and will only get worse. We are already seeing systems behave in ways that no one designed, deceiving users, manipulating their environments and showing the beginnings of self-preserving strategies: exactly the behaviours that researchers predicted if AI developed without restraint.

There are documented examples of deception, where AI asked a human to approve something by lying, claiming to be a human with visual impairment contacting them. An example of manipulation can be found in Meta’s CICERO, an AI trained to play the game of “Diplomacy”, which achieved human-level performance by negotiating, forming alliances and then breaking them when it benefited. Researchers noted that language was used strategically to mislead other players and deceive them. That was not a glitch; it was the system discovering manipulation as an effective strategy. It taught itself how to deceive others to achieve an outcome.

Even more concerning are cases where models behave in ways to resemble self-preservation. In recent tests on the DeepSeek R1 model, researchers found that it concealed its intentions, produced dangerously misleading advice and attempted to hack its reward signals when placed under pressure—behaviours it was never trained to exhibit. Those are early signs of systems acting beyond our instructions.

More advanced systems are on the horizon. Artificial general intelligence and even artificial superintelligence are no longer confined to speculative fiction. As lawmakers, we must understand their potential impacts and ensure we establish the rules, standards and safeguards necessary to protect our economy, environment and society, if things go wrong. The potential risks, including extreme risks, posed by AI cannot be dismissed. This may be existential and cause the end of our species. The potential extinction risks from advanced AI, particularly through the emergence of superintelligence, will be the capacity to process vast amounts of data, demonstrate superior reasoning across domains and constantly seek to improve itself, ultimately outpacing humans in our ability to stop it in its tracks.

The dangers of AI are rising. As I have said, AI is already displacing jobs, increasing inequalities, amplifying existing social and economic inequalities and threatening civil liberties. At the extreme, unregulated progress may create national security vulnerabilities with implications for the long-term survival of the human species. Empirical research in 2024 showed OpenAI occasionally displayed strategic deception in controlled environments. In one case, AI was found to bypass its own testing containment through a back door it created. Having been developed in environments that are allegedly ringfenced and disconnected from the wider world, AI is intelligent enough to find ways out.

Right now, there is a significant lack of legislative measures to counter those developments, despite top AI engineers asking us for that. We currently have a laissez-faire system where a sandwich has more regulation than AI companies, or even that of the rigorous safety standards placed on pharmaceuticals or aviation companies, which protect public health. The UK cannot afford to fall behind on this.

I do not want to dwell on doom and gloom; there is hope. The European Union, California and New York are leading the way on strong AI governance. The EU AI Act establishes a risk-based comprehensive regulatory framework. California is advancing detailed standards on system evaluations and algorithmic accountability, and New York has pioneered transparency and bias-audit rules for automated decision making. Those approaches show that democratic nations can take bold, responsible action to protect their citizens while fostering innovation.

We in the UK are fortunate to have a world-leading ecosystem of AI safety researchers. The UK AI Security Institute conducts essential work testing frontier models for dangerous capabilities, but it currently relies on companies’ good will to provide deployment action.

We stand at a threshold of an era defined by AI. Our responsibility as legislators is clear: we cannot afford complacency, nor can we allow the UK to drift into a position in where safety, transparency and accountability are afterthoughts, rather than foundational principles. The risk posed by advanced AI systems to our economy, our security and our very autonomy are real, escalating and well documented by the world’s leading experts. The United Kingdom has the scientific talent, the industrial capacity and the democratic mandate to lead in safe and trustworthy AI, but we lack the legislative framework to match that ambition. I urge the Government to urgently bring forward an AI Bill as a cross-party endeavour, and perhaps even set up a dedicated Select Committee for AI, given how serious the issue is.