Google DeepMind publishes AI Control Roadmap for agent safety through defense in depth
Securing the future of AI agents
What happened
Google DeepMind has published an AI Control Roadmap that treats internal AI agents as potentially misaligned and adds system-level safety layers beyond model alignment. It proposes grading safeguards by detection capabilities D1–D4 and prevention-and-response capabilities R1–R3.
Why it matters
DeepMind has published its internal AI control roadmap, with graded detection and response capabilities and analysis of one million coding-agent trajectories.
Google / GeminiAgentsSafety and alignmentPapers and research#Research#Safety and alignment#Agent#Google
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