Tag Archives: AI

Tom Arms’ World Review

AI

Sitting next to Pope Leo XIV when he launched his controversial encyclical on AI was Chris Olah—co-founder of the AI company Anthropic.

His presence was no accident. The Pope’s 235 page “Magnifica Humanitas”  calls for regulation of technology to protect the dignity of humankind.

Olah’s position is the same and he has made a name for himself by refusing to allow the Trump Administration to use Anthropic for military and intelligence purposes.

Olah is on one side of a technologically-driven political divide in Silicon Valley. On the other side are figures such as Marc Andreesen, who has been involved with many of the tech industry’s leading brands and Peter Thiel, CEO of the AI company Palantir.

Thiel and Andreesen far-right libertarians who want to avoid regulation. They see technological development as essential and that the controllers of technology should also control the politics for the benefit of all. Both men are big contributors to Donald Trump and conservative causes.

The debate goes beyond Silicon Valley to the international political stage. The Trump Administration big concern is winning the AI race with China. Donald Trump recently signed an Executive Order allow government oversight to prevent cyber-attacks. But he did so reluctantly.  He wants to keep regulation to a minimum; encourage private investment in AI and then use the product as an instrument of national power.

The EU wants AI to grow. It wants investment in European AI companies but they view government’s role as a partner and referee rather than spectator.

To put it simply: Trump wants to win the race. Brussels—and the pope-want to control AI. Britain wants to win the race safely.

The difficulty for Britain is that middle positions become harder to maintain as technologies mature. During the early nuclear age, Britain initially tried to bridge Washington and continental Europe. Eventually it had to choose where to place its strategic weight.

AI may force a similar decision. If the next decade brings increasingly powerful AI systems, the central geopolitical question may not be US versus China but whether the Western world adopts the American model of strategic competition or the European model of precautionary governance

Donald Trump and the liberal consensus

The Trump administration has always been an alliance of groups and people that oppose the so-called liberal consensus: the idea that the U.S. government should regulate business, provide social welfare programs, promote infrastructure projects, protect civil rights, and support a rules-based international order.

Since the 1980s Republicans accepted many of the institutional pillars of the post-war order—especially free trade, alliances and global leadership—even while seeking to reduce regulation and constrain the growth of government.

Trump upended that system, promising to dismantle the federal government built around the liberal consensus, the government his voters thought they hated because they thought its protection of equality before the law gave Black Americans, Brown Americans, women, and gender or religious minorities a leg up on white Christian men.

This racist lobby combined with a growing number concerned about immigration, cultural change, distrust of elites, de-industrialisation and globalisation.  Or they thought funding for science wasted their money on the research that right-wing influencers mocked for wasting their money and intruding on their freedom. Or they thought the U.S. contribution to the North Atlantic Treaty Organization (NATO) and U.S. participation in alliances did not put “America First.”

In 2024, Trump cobbled together enough groups who thought that way to win the White House, and as soon as he took power, he set out to destroy the liberal consensus government with the help of loyalists he installed in key positions.

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Liberalism in the age of AI: building an economy that liberates people

For most of the modern political era, economic debate has revolved around one central question: how do we create more jobs?

But what happens when technology begins reducing the need for human labour just as our population is ageing and demand for care, health and support is rising sharply?

Artificial intelligence is already reshaping parts of the economy at extraordinary speed. Entry-level legal work, coding, administration, customer service and research are all changing before our eyes. At the same time, Britain is growing older. More people are living longer, often with complex health or care needs, while birth rates fall and traditional career structures become less stable.

Some see this future and respond with fear. Others retreat into nostalgia, promising a return to a world that no longer exists – if indeed it ever did.

Liberals should do neither.

This moment demands something far more ambitious: a redesign of the economy around human flourishing. Because the real question is not simply how many jobs exist. It is whether people are able to develop their potential, contribute meaningfully, live with dignity and freedom, and participate fully in society throughout their lives. That, surely, is what Liberalism has always been about.

Liberalism at its best is not an ideology of atomised individuals competing endlessly in a market. It is a philosophy of human liberation. It asks how we remove barriers that prevent people from becoming who they are capable of becoming.

That means equality of opportunity. It means lifelong learning. It means decentralisation of power. It means freedom from poverty, insecurity and ill-health. And it means recognising that worthwhile work matters not only because it pays the bills, but because contribution, purpose and dignity are fundamental human needs.

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Time for the UK to engage with Europe on AI sovereignty

On Monday evening, a major evidence session of the House of Lords APPG on Artificial Intelligence — of which I am an associate — took place, where it became clear that the question of British and European AI sovereignty is no longer an abstract policy debate but is rapidly becoming a central political priority.

The session, organised by the Big Innovation Centre under Professor Birgitte Andersen and chaired by Lord Tim Clement-Jones, brought together policymakers, academics and industry leaders to confront a stark reality: the UK is too dependent on foreign — particularly American — AI infrastructure, platforms and large language models. This dependence carries significant implications for economic resilience, strategic autonomy and long-term technological capability.

A significant contribution came from Josephine Kant of the newly established UK Government AI Sovereign Fund, an initiative designed to strengthen Britain’s strategic autonomy in AI. Its creation signals a broader shift in thinking — away from the assumption that global markets alone will deliver resilient technological ecosystems, and towards a recognition that public policy must play a more active role in shaping critical infrastructure.

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Artificial intelligence and the Liberal Democrats: a practical opportunity

Artificial intelligence is already shaping how organisations analyse information, plan activity, and communicate. For the Liberal Democrats, AI offers a practical way to work more effectively, engage members better, and understand voters more clearly, while remaining aligned with liberal values.

One of the most immediate applications is voting and demographic data. Parties collect large volumes of information through canvassing, surveys, and local engagement. AI can help analyse this data responsibly, identifying trends, emerging concerns, and under-represented voices. Used well, this supports inclusion and improves how policy and messaging reflect real community priorities.

AI also has a role in strengthening the internal functioning of the party at local and regional levels. Local parties and regional structures manage policy development, casework, campaigns, and member engagement, often under time pressure. AI tools can support learning, policy development, and administration by organising research, summarising consultations, assisting with drafting, and maintaining shared knowledge resources.

To address these opportunities and challenges, a proposed AO focused on artificial intelligence is being explored. This AO would act as a central hub to support members at all levels of the party. It would provide a safe and supportive environment for learning, where members can build understanding without fear of being challenged or exposed, while still encouraging thoughtful discussion.

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To foster AI and technology innovation, words alone are not enough

Dr. Karsten Wildberger, Germany’s new Federal Minister for Digital Transformation and Government Modernisation, has raised important concerns about the EU AI Act. He argues that its regulatory framework is being introduced prematurely—before a strong European AI market has emerged—and stiffles innovation. “Sometimes it’s wiser to pause and reassess when circumstances evolve,” he told the Financial Times (link below), underscoring how the Act creates barriers that deter companies from experimenting and scaling AI within Europe.

His remarks highlight a broader tension: Europe aspires to lead in AI, yet risks undermining its own ambitions by prioritizing control over cultivation. Regulations must ensure safety and ethics, but they must also be proportionate, flexible, and designed to nurture domestic innovation rather than handicap it before it can properly grow.

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The UK Government must rethink its AI R&D

The recent shift forcing the Alan Turing Institute toward defence-focused AI research has sparked major questions about the UK’s innovation strategy.

Many argue that the government should have created or funded a dedicated defence AI institution with a clear mission, avoiding dilution of the Institute’s vital civil AI research and social innovation. The sudden pivot caused staff unrest, leadership upheaval, and risked ongoing societal research programmes.

Public trust and accountability are also crucial. National security projects need specialist oversight, ethical governance, and transparency—elements compromised when defence priorities are fused into a broadly purposed public research institute.

The UK already has specialist institutions developing defence AI. The Alan Turing Institute runs the Defence Artificial Intelligence Research (DARe) Centre in collaboration with the Ministry of Defence and intelligence agencies. The Defence Artificial Intelligence Centre (DAIC) integrates AI across military operations, while the AI Security Institute addresses AI safety and security risks. The Defence Innovation Organisation supports industrial partnerships with a significant ring-fenced budget. These dedicated bodies are designed to drive rapid advancements in national security AI.

Defence AI demands specialist infrastructure, security clearance, and operational protocols that a repurposed civil institute is ill-equipped to provide.

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AI Chatbots should not play a role in our parliamentary democracy

Last week, Mark Sewards, Leeds South West and Morley’s freshman MP, announced that he had created an AI chatbot version of himself, complete with a facsimile of his voice and an uncanny avatar. While Sewards has become the first MP to take such a step, this is not the first time that Neural Voice, the tech company behind the chatbot, has dabbled in politics; in 2024, they fielded an AI version of their chairman Steve Endacott as an Independent candidate in the Brighton Pavillion.

The West Yorkshire Labour MP said that his chatbot will “help strengthen the connection between an MP’s office and the constituents we serve” by allowing people to ask for help with local issues or policy queries and providing access to that support “24/7, 365 days a year”. However, this will likely have the opposite effect.

Prof Victoria Honeyman, a British politics lecturer at the University of Leeds, gave a nuanced verdict on Sewards’ chatbot. She said that if used to “answer simple messages, then most people would be relatively comfortable as we have in lots of different areas of our lives nowadays”, thus granting Sewards more time to focus on complicated casework. However, she conceded that it “might cause more upset” and “ people’s confidence in their MP” if mistakes are made when contending with more complicated, potentially emotionally challenging cases.

With Sewards admitting that his new chatbot is a “prototype”, he acknowledges that adjustments may be needed. It would be unfortunate if such adjustments were necessary as a result of of serious mistakes made by the AI that will negatively affect inquiring constituents. For a real-life example of AI failing under such circumstances, last year a bereaved Air Canada passenger (flying to attend his grandmother’s funeral) was misdirected by the chatbot to purchase a full price ticket rather than a bereavement discount ticket; having been told by the chatbot that he would be reimbursed the difference, Air Canada refused it. While this was an embarrassment for a private company, a community’s champion at Westminster making such mistakes would be a dereliction of duty. 

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A thief in the night

Imagine if you will that you are sitting quietly in your house when you hear the door open. A man comes in and starts helping himself to your possessions. You remonstrate with him and he pays no attention. A quick phone call brings in the authorities but to your astonishment they arrive, ignore you, congratulate the thief and tell him that to incentivise him in his good work he will get a series of tax breaks.

It couldn’t happen here. 

It is. 

We are a publisher and recent months have seen a growing swell of complaints from our authors about theft of their texts without any permission. At least 7.5 million books without license or recompense into Artificial Intelligence systems, tens of millions of articles and shorter pieces. The action of the UK government is not to defend the intellectual copyrights and property of its citizens but to legislatively legitimise this theft with a generous dose of cream in tax breaks on top.

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Who is Afraid of Red, Yellow and Blue: AI art and Neo-Fascism

For being such keen environmentalists and anti-fascists, the Lib Dems need to be far more critical of generative AI than we currently are. But as opposed to talking about the obvious and well-known environmental damage that AI causes, I’d like to focus on the much less talked about the latter: AI art as the contemporary fascist aesthetic.

This should be glaringly apparent if we just take a short look at the people who are pro-AI art: from Trump and his administration using Ghibli-style AI images to publicise their illegal and inhumane deportations, to Elon Musk generating a drawing of …

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We need to talk about the government’s AI plans

If you asked someone a few years ago which party formed a British government wanting to exempt AI firms from having to adhere to copyright laws  and joining the Trump government in refusing to sign an international declaration calling on AI to be, among other things, ethical, they would almost certainly have assumed it was a Conservative government, not a Labour one.

The reality is that that’s exactly what Keir Starmer’s Labour government is doing.

Both of these should be extremely concerning for us all, but for Liberal Democrats this should ring particular alarm bells.  The government seems intent to hand the majority of the value of the UK’s vital creative industries, estimated to be worth over £120 billion, to unaccountable US tech firms headed by the wealthiest men on the planet, with precious few safeguards for authors, artists, and creators.

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Does AI really pose a risk to democracy?

On Thursday the 27th of June, Channel 4’s Dispatches programme broadcast an episode called ‘Can AI Steal Your Vote?

The premise was that 12 undecided households were told they were going to see some social media content that parties had been working on but had not released yet. First hook being they would be told something that others did not know, instant buy-in for most people.

What they were not told was that this was an experiment to see how people could be manipulated to vote in specific way based on information they were presented with. Any experimental social scientists might question …

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Observations of an expat: AI and international politics

Dependent on whom you listen to, AI is either going to save or destroy humanity.

In common with most leaps in human knowledge, the reality lies somewhere in the middle. Winners and losers are guaranteed.

Technology will race blindly ahead with society attempting to play catch-up and unable to do so because of its inability to know the unknown.

The one known is that the AI genii is well and truly out of the bottle and won’t/can’t be stuffed back in. The trick therefore is how to regulate it in order to maximise the upside and minimise the downside.

One of the most pressing AI-related needs is for an agreed international framework. The technology has the potential to impact military capabilities to such a degree that it could dwarf the significance of nuclear weapons. A nationalist-driven AI-race is bad. Unfortunately it has already started.

Britain’s post-Brexit economy is declining and the government sees AI as an opportunity to harness the country’s small but effective high-tech industry to reverse the trend. It has issued a White Paper which emphasises a Wild West approach to Artificial Intelligence in a bid to become an AI super power. It will avoid “heavy-handed legislation which could stifle innovation” and “take an adaptable approach to regulating AI.”

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We can’t ignore AI – we should teach it politics


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On Monday evening, BBC Radio 4 presented a documentary on ChatGPT, the artificial intelligence star of the moment. The programme was partly written by ChatGPT.

I am a fan of AI. It has the potential to transform our access to information, our understanding, our health services and much more. If it would only get it right.

Whether you like the current generation of AI (services like ChatGPT) or not is like Marmite. More on Marmite below.

ChatGPT is good at national party and international politics. But it can be rubbish at a constituency level. Some answers are like a teenager grabbing random books in the library. Some old. Some newer. Some right. Some wrong. Superficially believable results may be completely wrong because I can’t check the “facts” it gives us.

ChatGPT can make serious errors about recent political events, including by-elections. We need to teach AI to get it right to ensure misinformation does spread.

We can’t walk away from AI. The reality is that it is here to stay. You can no more resist it than some early authors resisted word processors and some ledger clerks resisted computers. But we can make it better.

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