Centre for Long-Term Resilience - Official Website
webCredibility Rating
Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: Long-Term Resilience
CLTR is a UK policy-focused think tank relevant to AI governance and existential risk; useful for understanding how safety concerns translate into government policy recommendations and institutional reform efforts.
Metadata
Summary
The Centre for Long-Term Resilience (CLTR) is a UK-based think tank focused on building resilience to extreme risks, including AI-related risks and biosecurity threats. It works to influence government policy and decision-making to better prepare societies for catastrophic and existential risks. CLTR engages with policymakers, publishes research, and advocates for institutional reforms to address long-term and emerging threats.
Key Points
- •UK-based policy think tank focused on extreme and catastrophic risk reduction, including AI safety and biosecurity
- •Works directly with governments and policymakers to embed long-term resilience into institutional decision-making
- •Publishes reports and policy recommendations on AI governance, pandemic preparedness, and systemic risk
- •Advocates for structural reforms to improve how governments identify and respond to emerging global risks
- •Part of the broader ecosystem of organizations working on existential risk reduction through policy channels
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Centre for Long-Term Resilience | Organization | 63.0 |
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Striving for a safe and flourishing world
An independent think tank with a mission to transform global resilience to extreme risks
Our Vision
Our vision is a safe and flourishing world with high resilience to extreme risks, such as those from pandemics and emerging technologies.
Our Mission
Our mission is to transform global resilience to extreme risks — both in the UK and internationally. Our core focus areas are AI risk, biological risk and government risk management
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We help governments and other institutions transform resilience to extreme risks by:
Helping decision-makers and the wider public to understand extreme risks.
Providing expert advice and red-teaming on policy decisions.
Convening cross-sector conversations and workshops related to extreme risks.
Developing and advocating for policy recommendations and effective risk management frameworks and systems.
Providing an exchange for specialist knowledge, including by facilitating expert placements into government.
Our Latest Work
Artificial Intelligence
Risks stemming from improper application, unintended behaviours of AI systems in critical domains, and the broader socioeconomic impacts of AI on both the economy and society.
Explore AI
Report: CLTR finds a 5x increase in scheming-related AI incidents
Mar 27, 2026
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How the UK Government can govern the risk of loss of control
Feb 3, 2026
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Biosecurity
Risks arising from natural pandemics, laboratory leaks, bioweapons, and ‘dual-use’ research — advancements with the potential for both beneficial and harmful applications.
Explore Biosecurity
Informing the European Biotech Act and Inclusions of our Recommendations
In November 2025, the Biosecurity Policy Unit submitted written evidence to the European Union (EU)’s Public Consultation informing the European Biotech Act.
Feb 6, 2026
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Defensive acceleration: the strategic pivot needed for UK biological resilience
A framework and four priority programmes to grow the economy and strengthen UK biosecurity in the age of AI.
Jan 30, 2026
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Risk Management
Global-reaching, high-impact threats possess the potential to cause widespread devastation to both lives and economies on a global scale.
Explore Risk Management
Ten things we want to see from Exercise Pegasus
What does best-in-class risk preparedness exercising look like? We outline ten key benchmarks we’ll be watching for from Exercise Pegasus to demonstrate the
Feb 12, 2026
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UK Resilience Action Plan: Ambitious Progress with Room to Go Further
Jul 25,
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