?asOf= parameter to see the current catalog state.A categorical classification of AI models above certain capability or compute thresholds, indicating heightened regulatory scrutiny.
Definition and scope
Frontier-tier classification varies by jurisdiction. The EU AI Act presumes 'systemic risk' at ≥10²⁵ FLOPs training compute OR ≥45M EU monthly active users. The US EO 14110 used 10²⁶ FLOPs as the reporting trigger. Industry frameworks (Anthropic ASL, OpenAI Preparedness, DeepMind FSF) use capability-based rather than pure-compute frontier markers. The term 'frontier' has no single canonical definition; it is operationalized differently across regulators and developers.
Used by these instruments
- EU AI Act· EU
- Executive Order 14110 on Safe, Secure, Trustworthy AI· US
- UK Pro-Innovation Approach to AI Regulation (White Paper)· UK
- G7 Hiroshima AI Process Code of Conduct· G7
- Anthropic Responsible Scaling Policy (RSP) v2· US
- OpenAI Preparedness Framework· US
- Google DeepMind Frontier Safety Framework· US
- Meta Frontier AI Framework· US
- UK-US AI Safety Institute Memorandum of Understanding· global
- White House Voluntary AI Commitments· US
- Singapore Model AI Governance Framework for Generative AI· SG
- Japan METI AI Guidelines for Business· JP
Related concepts
- AI Safety Level 3 (ASL-3)— A capability-based risk tier in Anthropic's Responsible Scaling Policy denoting models with the pote
- Systemic Risk (AI)— A regulatory designation indicating that a general-purpose AI model poses risks of significant scale
- Designated Systemic-Risk Model— A general-purpose AI model that has been formally designated by the EU AI Office under Article 51(1)
- Compute Threshold (AI Governance)— A regulatory trigger expressed as floating-point operations (FLOPs) consumed during model training,
Appears in topic articles
Editorial note
When a wiki article references 'frontier' without jurisdictional qualifier, defer to the EU AIA Art. 51 definition as the most widely cited binding text.
References
Cite this article
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