@GoogleDeepMind: Instead of assuming AI will always do what we intend, we ask: what if it doesn't? That’s why we’ve developed our AI Con…
Summary
Google DeepMind introduces its AI Control Roadmap, a framework for building and managing advanced AI to ensure it behaves as intended.
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Cached at: 06/18/26, 02:08 PM
Instead of assuming AI will always do what we intend, we ask: what if it doesn’t?
That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google.
Our data shows that the vast majority of issues don’t stem from bad intent.
They usually happen because an agent misinterprets a command or gets overly enthusiastic to achieve a goal.
Understanding these nuances is critical for refining safety and security protocols.
There is a narrow window to embed structural security protocols before multi-agent systems scale globally.
We believe this multilayered approach to agent security should be a collaborative priority for AI labs, government, and academia.
See the framework →
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