The 2026 Singapore Consensus on Global AI Safety Research Priorities

2026

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AI-generated summary

1) This report outlines critical research priorities for ensuring the safe and responsible development of artificial intelligence, addressing the growing gap between AI capabilities and safety measures.
2) * Identifies key research areas in AI safety, including risk assessment, system development, control, and societal resilience.
* Details specific technical priorities for building trustworthy, secure, and reliable AI systems.
* Explores agentic risk management principles and practices for autonomous AI systems.
3) AI Safety, Research Priorities, AI Governance, Risk Management, Agentic AI

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