John Burden
Bio
John Burden is an AI safety and evaluation researcher currently serving as an AI Research Engineer at Prolific, having previously been a Senior Research Fellow and Programme Co-Director of the Kinds of Intelligence programme at the Leverhulme Centre for the Future of Intelligence (LCFI) at the University of Cambridge. He holds a PhD in Computer Science from the University of York and a Master's degree in Computer Science from Oriel College, Oxford. He is a Research Affiliate at the Centre for the Study of Existential Risk (CSER), Cambridge, and has contributed to the Centre for Science and Policy network. His research focuses on developing robust evaluation frameworks for AI systems, characterising their capabilities and generality, and linking behavioural evidence to safety-relevant assessment — work that directly addresses the risks posed by large foundation models. He has published extensively on AI evaluation methodology, predictable AI, human-in-the-loop frameworks, and international governance mechanisms for assessing societal-scale AI risks, with recent work appearing in Nature and the journal Artificial Intelligence.
Links
- Personal Website
- https://johnburden.co.uk/
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- Twitter / X
- LessWrong
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Grants
from Long-Term Future Fund
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Details
- Last Updated
- Mar 22, 2026, 10:18 PM UTC
- Created
- Mar 20, 2026, 2:53 AM UTC