Google DeepMind AI Control Roadmap
Google DeepMind’s AI Control Roadmap is a governance entry because it treats advanced agents as systems that need layered control, not just aligned model weights.
Control model
The roadmap combines sandboxing, endpoint security, prompt-injection resistance, model alignment, monitoring, prevention, and response. It maps security protocols to capability levels, including detection evasion and attack execution.
ASI relevance
Self-improving and tool-using agents will need permissioning, monitoring, and graduated access. A control roadmap is one way to let capability scale while keeping deployment incremental and auditable.