The document states that Meta defines risk thresholds based on model facilitation of threat scenarios and maintains processes to keep risks within acceptable levels through the application of mitigations.
This analysis describes what Meta'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
This provision discloses that Meta uses internally defined risk thresholds and mitigation processes as gates in the model release workflow, but does not specify the threshold levels, the criteria for determining acceptability, or the nature of the mitigations applied.
Interpretive note: The document does not specify threshold values, calibration methodology, or the criteria for determining what constitutes an 'acceptable level' of risk, limiting the assessability of this provision.
This provision describes Meta's internal risk threshold framework for frontier AI model releases; the thresholds and mitigation processes are defined internally by Meta and are not subject to independent external verification as described in this document.
Cross-platform context
See how other platforms handle Risk Threshold Establishment and Mitigation and similar clauses.
Compare across platforms →"Establishing risk thresholds: We define risk thresholds based on the extent to which our models facilitate the threat scenarios. We have processes in place to keep risks within acceptable levels, including applying mitigations.Excerpt from Meta's Frontier AI Framework
(1) REGULATORY LANDSCAPE: The EU AI Act's systemic risk provisions for general-purpose AI model providers require documented risk management processes, including mitigation measures and their effectiveness assessments.
Enforcement risk, jurisdiction flags, contract triggers, and due diligence action items.
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This provision discloses that Meta uses internally defined risk thresholds and mitigation processes as gates in the model release workflow, but does not specify the threshold levels, the criteria for determining acceptability, or the nature of the mitigations applied.
This provision describes Meta's internal risk threshold framework for frontier AI model releases; the thresholds and mitigation processes are defined internally by Meta and are not subject to independent external verification as described in this document.
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