This analysis describes what Google DeepMind's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
The commitment to develop a safety case that is 'assessable' and must show minimisation to an 'acceptable level' creates a defined, evaluable standard rather than a discretionary or informal review.
Readers are informed that before deployment, Google DeepMind is committed to producing a safety case that must demonstrate—in an assessable way—that severe risks from a model's critical capability levels have been minimised to an acceptable level.
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"we will also develop a safety case, which is an assessable argument showing how severe risks associated with a model's CCLs have been minimised to an acceptable level.Excerpt from Google DeepMind's Frontier Safety Framework
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The commitment to develop a safety case that is 'assessable' and must show minimisation to an 'acceptable level' creates a defined, evaluable standard rather than a discretionary or informal review.
Readers are informed that before deployment, Google DeepMind is committed to producing a safety case that must demonstrate—in an assessable way—that severe risks from a model's critical capability levels have been minimised to an acceptable level.
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