Row 188 · m188-google-deepmind-frontier-safety-frameworkSupporting

Google DeepMind Frontier Safety Framework

Proposed Additional Source CategoriesIndustrydocument

Assessment outcome

total 4/6 (actionability 1 + authority 1 + currency 2)

Total4/6

Actionability1/2

Authority1/2

Currency2/2

G1 · Retrievablepass

HTTP 200, 1697 words of full text extracted

G2 · AI nexuspass

The source is entirely about AI systems, safety frameworks, and risk evaluation for advanced models.

G3 · Governance nexuspass

It outlines rules, protocols, and mitigation plans to manage risks and safety concerning advanced AI capabilities.

G4 · Attributablepass

Named authors are clearly provided at the beginning of the post.

G5 · In forcepass

There is no indication on the page that this framework has been superseded, repealed, or withdrawn.

1/2

Level 1: Provides direction and principles regarding mitigation plans without detailing binding granular compliance steps.

Applying a mitigation plan when a model passes our early warning evaluations

1/2

Level 1: Issued by researchers acting officially for a reputable institution (Google DeepMind).

Introducing the Frontier Safety Framework Anca Dragan, Helen King and Allan Dafoe

2/2

computed: newest date 2026-07-06 (via meta), ~0.1y old; within the 24-month ai_law_policy_news window for perspective 'Industry' → 2

Coverage topicFrontier AI Safety Framework

PerspectiveIndustry

Lifecycle stageN/A cross-cutting

Layermodel

Trackgeneral

Granularitydocument