Meta

Meta AI / FAIR. Llama family of open-weights models. Advanced AI Scaling Framework v2 (effective April 8, 2026) replaces the original Frontier AI Framework. Risk categories: chemical/biological, cybersecurity, and a new section on loss of control. Two outcome tiers (Critical Risk, High Risk) gate deployment.

Canonical site ↗Seoul signatory
Framework versions (Advanced AI Scaling Framework)
  1. 2026-04-08AASF v2.0verified

    Advanced AI Scaling Framework (April 8, 2026). Replaces and supersedes the original Frontier AI Framework. Broadens risk categories to add a new section on loss of control. Strengthens deployment decision criteria. Introduces Safety & Preparedness Reports as a public transparency artifact. Standards apply to all Meta frontier deployments, open or closed.

    • Replaces and supersedes the original Frontier AI Framework
    • Adds new section on loss of control risks
    • Strengthens deployment decision criteria
    • Introduces Safety & Preparedness Reports for each frontier model release
    • Applies uniformly to open-weights releases AND controlled API access AND closed models
    • First Safety & Preparedness Report published with Muse Spark
  2. 2025-02-03AASF v1.0verified

    Original Meta Frontier AI Framework. Introduced two outcome tiers (Critical Risk, High Risk) tied to bio/chem and cybersecurity risk categories. Outcome-based rather than capability-threshold-based: Meta evaluates whether an AI's use could enable a defined catastrophic outcome rather than whether it crosses a capability bar.

    • First public Meta safety framework
    • Outcome-based: Critical Risk and High Risk outcomes defined per category
    • Categories: biological weapons proliferation, cybersecurity attacks
    • Decision on release based on whether marginal uplift to a threat actor crosses outcome thresholds
Other labs tracked