Chatham House fellow gives evidence at UK parliament committee on global AI governance and risks

Senior Research Fellow Isabella Wilkinson spoke to the House of Lords International Relations and Defence Committee at a time when many are calling for greater regulation of AI in the light of emerging risks.

News release

Published 21 September 2026 — 1 minute READ

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Isabella Wilkinson, Senior Research Fellow with Chatham House’s Digital Society Programme, gave evidence on the global governance of AI to the UK House of Lords International Relations and Defence Committee on 16 September.

Wilkinson outlined the main types of risk from AI: malicious risks, loss-of-control risks and systemic risks. Addressing the governance challenge posed by these risks, she said:

‘We’re facing a governance challenge because all of these risks are interlinked, so we have to be very strategic about how we design governance at multiple different levels. This is a multilateral challenge.’

Wilkinson said that interlinked governance challenges, including a dearth of trusted information about AI and ‘the lack of a crisis toolbox’ to deploy in the event of a crisis, had led to ‘quite a severe state of gridlock in multilateral AI governance.’

The committee was meeting in a week in which debates over the risks associated with AI featured prominently in public debate, following calls by tech leaders to slow the pace of the technology’s development.

‘We are in a moment of intense crisis and turbulence in multilateral AI governance. But as we’ve learned [from other areas of governance] … these conditions create a window of opportunity for dealing with the gridlock,’ said Wilkinson.

Watch the session in full.

Chatham House’s Digital Society Programme is part of its Global Governance and Security Centre. Read more of Chatham House’s recent work on AI here:

Expert Comment: Is AI really getting out of control?

Research Paper: Breaking the deadlock on AI governance

The World Today: How AI could change the world

Independent Thinking podcast: Artificial Intelligence, Real Fears: Is it time to slow down?