AI Safety
15 articles

Insights on ensuring AI systems operate safely, mitigating risks, and aligning AI behavior with human values.

Moving Fast Doesn’t Have to Break Things: The U.S. Must Stop Compromising Critical Infrastructure with Patchwork AI Security Approaches
Reflections on the 2026 India AI Impact Summit
Zero-Setup Federated Learning: Train Models Across Private Datasets Using Only Google Colab
Secure Enclaves for AI Evaluation
Towards an inclusive AI governance process ahead of the AI Action Summit
Model Access for Evaluations
Third-party evaluation to identify risks in LLMs’ training data
Moving Beyond the Open vs. Closed AI Debate
Building a Framework for External Scrutiny of Frontier AI Models
UK Frontier AI Taskforce Partners with OpenMined to Advance AI Safety Research
Response to DISR on Responsible AI
Response to OSTP on National AI Priorities

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