Frontier Model
Most capable AI models requiring enhanced oversight.
How the laws define this
Regulators consistently frame frontier models as highly capable, advanced AI systems whose power and scale create significant potential risks to public safety, national security, or critical infrastructure. Despite agreeing on this potential for severe societal impact, these authorities diverge on whether to classify a model using strict quantitative benchmarks or broader capability assessments. California SB 53 — Transparency in Frontier Artificial Intelligence Act (TFAIA) relies on a precise technical cutoff of more than 10^26 computing operations, while the Responsible AI Safety & Education Act focuses on high computational power and financial investment during training. Furthermore, the Transparency in Frontier Artificial Intelligence Act highlights that the California Department of Technology annually reviews quantitative thresholds. By contrast, instruments such as the Artificial Intelligence Safety Measures Act and Safe and Responsible AI in Australia — Government Interim Response to Consultation define frontier models through qualitative risk profiles, emphasizing general-purpose deployment, emergent properties, or catastrophic threats.
Synthesised from the 8 statutory definitions below. Each one is quoted in full, with its source.
Definitions (8)
A foundation model trained using more than 10^26 computing operations, counting the original training run plus any fine‑tuning or modifications; this threshold identifies the largest, most resource‑intensive AI systems subject to the law.
Refers to sophisticated artificial intelligence systems that possess or could acquire capabilities that, due to their power or complexity, pose significant risks to public safety or well-being. These models are the primary focus of the Act's regulatory framework.
A highly capable artificial intelligence model that, due to its advanced capabilities, could potentially pose severe or catastrophic risks to public safety, national security, or critical infrastructure. These models are typically at the leading edge of AI development.
Refers to the most advanced and powerful AI systems, characterized by their significant capabilities and potential for systemic impact, often requiring substantial computational resources for training and deployment.
A frontier model refers to the most advanced and general-purpose AI systems, such as those developed by leading AI firms. The California Department of Technology annually reviews the specific quantitative thresholds for these models to ensure the definition remains current with technological advancements.
Very large or general-purpose AI models that can be embedded across many settings and scale rapidly; they may present unique systemic risks due to their generality and broad cross-sector deployment. The document signals tailored safety mechanisms and possible model-specific obligations for such systems.
These are advanced AI models characterized by significant computational power and financial investment during their training phase, or smaller models derived from them with similar capabilities. They are identified as having the capacity to cause significant societal impact.
Advanced AI systems that demonstrate emergent properties or high computational power, potentially impacting national security or economic stability.
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