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RSI Encyclopedia · Term

Frontier safety framework

A frontier safety framework is a lab's published plan for spotting dangerous capabilities in its SI models and the safeguards it will apply when they appear.

Category
Term
Also called
safety framework, Frontier Safety Framework
Rogue Log cases
0
Laws that use it
13

In plain English

At the 2024 Seoul summit most leading labs agreed to publish safety frameworks for their frontier models, and by 2026 almost every major developer had one under some name: Anthropic's Responsible Scaling Policy, OpenAI's Preparedness Framework, Google DeepMind's Frontier Safety Framework, Meta's Superintelligence Scaling Framework, xAI's Frontier Artificial Intelligence Framework, Microsoft's Frontier Governance Framework and Amazon's Frontier Model Safety Framework.

The frameworks share a structure. They list severe risk areas such as chemical and biological weapons, cyber attacks, autonomous replication and automated SI research, define capability levels that count as dangerous, and promise safeguards for each level. They differ on how measurable the thresholds are, whether commitments are binding or discretionary, and who checks compliance. Laws are starting to require them: New York's RAISE Act, for example, obliges large frontier developers to publish such a framework and review it every year.

Why it matters for rogue SI

These frameworks are the labs' own rules for avoiding rogue SI. The safety framework grade on the Containment Board measures how specific and enforceable each one is.

Laws and rules that use it

Lab policies

Sources

  1. Ensuring a National Policy Framework for Artificial Intelligence Federal Register ·
  2. H.R. 9925, FRONTIER Act, 119th Congress LegiScan

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