Research

Our research

Our research explores the technical, political, and institutional challenges of building safer AI systems. We aim to inform policy, support practitioners, and contribute to a growing body of knowledge that bridges theory and real-world impact.

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  • 03.11.2025
  • Memo
Safety Frameworks and Standards: A comparative analysis to advance risk management of frontier AI
James Gealy, Daniel Kossack, Simeon Campos
This memo conducts a structured comparison between emerging Frontier Safety Frameworks and established international risk management standards, and argues that blending the operational specificity of FSFs with the rigor and maturity of global standards offers a promising pathway to harmonize and str...
  • 03.11.2025
  • Memo
Risk Tiers: Towards a Gold Standard for Advanced AI
Siméon Campos, James Gealy, Daniel Kossack, Malcolm Murray, Henry Papadatos
In this research memo, the Oxford Martin AIGI brings together diverse stakeholders to sketch out the contours of a “gold-standard” framework for risk tiering—balancing quantitative and qualitative assessments, lifecycle classification, and the integration of benefit-risk reasoning across governance ...
  • 07.03.2025
  • Paper
Mapping AI Benchmark Data to Quantitative Risk Estimates Through Expert Elicitation
Malcolm Murray, Henry Papadatos, Otter Quarks, Pierre-François Gimenez, Simeon Campos
  • 11.02.2025
A Frontier AI Risk Management Framework
Siméon Campos, Henry Papadatos, Fabien Roger, Chloé Touzet, Otter Quarks, Malcolm Murray
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