Binding law — in force
Large frontier developers must publish an implemented frontier AI risk framework (California SB 53)
Under California's Transparency in Frontier Artificial Intelligence Act (SB 53; Bus. & Prof. Code 22757.10 et seq., effective 2026-01-01 — the first US statute focused squarely on AI safety), large frontier developers must write, implement, and clearly and conspicuously publish on their website a frontier AI framework applying to their frontier models, describing how they approach: incorporating national/international standards and industry-consensus best practices; defining and assessing thresholds used to identify whether a frontier model has capabilities that could pose a catastrophic risk; applying mitigations to address potential catastrophic risks; identifying and responding to critical safety incidents; and assessing and managing catastrophic risk arising from internal use of their frontier models. They must additionally submit to the Office of Emergency Services a summary of any assessment of catastrophic risk from internal use. Detect a frontier-model development context with no published risk framework or no internal-use catastrophic-risk assessment.
Who it applies to
- Duty falls on: developer
- FRONTIER DEVELOPERS training foundation models above the statutory compute threshold (>10^26 FLOPs), with enhanced duties for LARGE frontier developers (>$500M annual revenue). Effective 2026-01-01. Not applicable to ordinary AI-integrating applications — this binds model developers, not deployers.
- Whether it applies depends on facts outside the code; a person has to decide.
The guard to add
Organizational artifact to keep (not verifiable from code); the guard is the record, its owner and its upkeep.
Publish a frontier AI framework covering capability thresholds, mitigations, incident response, and internal-use risk, and gate model releases on it.
A public framework page, linked from the developer's website and owned by the frontier-safety lead, that maps each covered topic to the policy implementing it: standards adopted, catastrophic-capability thresholds and the evaluations that test them, mitigations applied when thresholds are reached, critical safety incident identification and response, and assessment of catastrophic risk from internal use. Show that it is implemented: release checklists cite the threshold evaluation results, a versioned changelog records changes with reasons and dates, and internal-use risk summaries sent to regulators are tracked with receipts. A CI or release gate refuses to promote a frontier model whose release record lacks the evaluations the framework calls for.
Where it goes: 12 repository artifacts, 14 user-facing text, 11 CI/CD pipeline.
What this provision adds:
- Submit to the Office of Emergency Services a summary of any assessment of catastrophic risk from internal use of the developer's frontier models.
Example (Model release record + CI gate), before:
# releases/model-x.yaml
model: model-x
approved_by: research-leadAfter:
# releases/model-x.yaml (CI fails if a required field is missing)
model: model-x
framework_version: 2.3 # https://example.ai/frontier-framework
threshold_evals:
bio_uplift: evals/results/model-x/bio.json
cyber_offense: evals/results/model-x/cyber.json
autonomy: evals/results/model-x/autonomy.json
thresholds_crossed: [cyber_offense]
mitigations: [classifier-gating, staged-access]
incident_runbook: docs/safety/critical-incident-response.md
approved_by: frontier-safety-leadControl: Frontier AI developer without a published catastrophic-risk framework. The same guard addresses 3 items with binding law in 3 jurisdictions. Engineering guidance, not legal advice.
Rule id ca-sb53.frontier-ai-framework · review status: primary source derived