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Lord Tarassenko (CB)

Speaking in the House of Lords on 28 January 2025

Debate

Data (Use and Access) Bill [HL]

Contribution

My Lords, I speak in support of the noble Baroness, Lady Kidron, on Amendment 58, to which I have also put my name. Given the time, I will speak only about NHS datasets. There have been three important developments since the Committee stage of this Bill in mid-December: the 43rd annual J P Morgan healthcare conference in San Francisco in mid-January, the launch of the AI Opportunities Action Plan by the Prime Minister on Monday 13 January and the announcement of the Stargate project in the White House the day after President Trump’s inauguration. Taking these in reverse chronological order, it is not clear exactly how the Stargate project will be funded, but several US big tech companies and SoftBank has pledged tens of billions of dollars. At least $100 billion will be available to build the infrastructure for next-generation AI, and it may even rise to $500 billion in the next four years. The UK cannot match these sums. The AI Opportunities Action Plan instead lays out how the UK can compete by using its own advantages: a long track record of world-leading AI research in our universities and some unique, hugely valuable datasets. At the JP Morgan conference in San Francisco, senior NHS management had more than 40 meetings with AI companies. These companies all wanted to know one thing: how and when they could access NHS datasets. It is not surprising, therefore, that it was reported in November that the national federated data platform would soon be used to train different types of AI models. The two models mentioned were Open AI’s proprietary ChatGPT and Google’s medical AI, Med-Gemini, based on Google’s proprietary large language model, Gemini. Presumably, these models will be fine-tuned using the data stored in the federated data platform. Amendment 58 is not about restricting access to UK datasets by Open AI, Google or any other US big tech company. Instead, it seeks to maximise their long- term value, driven by strategic goals rather than short-term, opportunistic gains. By classifying valuable public sector datasets as sovereign data assets, we can ensure that the data is made available under controlled conditions, not only to public sector employees and researchers but to industry, including US big tech companies. We should expect a financial return when industry is given access to a sovereign dataset. A first condition is a business model such that income is generated for the relevant public body, in this case the NHS, from the access fees paid by the companies that will be the authorised licence holders. A second condition is signposted in the AI Opportunities Action Plan, whose recommendations have all been accepted by the Government. In the third section of the action plan, “Secure our future with homegrown AI”, Matt Clifford, the author of the plan, writes that “we must be an AI maker, not just an AI taker: we need companies … that will be our UK national champions … Generating national champions will require a more activist approach”. Part of this activist approach should be to give companies and organisations headquartered in the UK preferential terms of access to our sovereign data assets. These datasets already exist in the NHS as minimum viable products, so we cannot afford to delay. AI companies are keen to access data in the federated data platform, which is NHS England’s responsibility, or in the secure data environments set up by the National Institute for Health and Care Research, NIHR. I urge the Government to accept the principles of this amendment as they will provide the framework needed now to support NHS England and NIHR in their negotiations with AI companies.

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