Our Publications
Publications
A snapshot of current and past work connected to our AI governance and safety research.
AI Governance Observatory
A curated effort to track and synthesize evolving AI governance policies, standards, and safety practices. The goal is to make emerging requirements easier to understand and apply across real-world deployments.
Marko Smith
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Risk-Based AI Policy and Case Studies
Development of practical governance frameworks grounded in global principles and real implementation scenarios. This work supports decision-makers in evaluating AI risk and designing proportionate oversight.
David Cole
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AI Safety and Accountability Evaluation Toolkit
Exploration of evaluation methods that go beyond performance, including fairness, robustness, and transparency. Outputs may include checklists, testing approaches, and guidance for audit readiness.
Jenny Huy
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AI Governance and Safety Research
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