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© 2026 AI Compliance Atlas. Informational only — not legal advice. Consult qualified counsel before making compliance decisions.Verified Jul 28, 2026
  1. Home/
  2. California/
  3. Transparency in Frontier Artificial Intelligence Act (TFAIA)
In effectSB 53 (2025)California

Transparency in Frontier Artificial Intelligence Act (TFAIA)

Compliance reference — obligations, penalties, applicability, and primary sources.

Last verified July 27, 2026

Effective
January 1, 2026
Max penalty
$1.0M
Applies to
developer
Status
In effect

Summary

California SB 53 — the Transparency in Frontier Artificial Intelligence Act (TFAIA), also searched as "CA SB 53", "California frontier AI law", or "frontier AI safety act" — was signed by Governor Newsom on September 29, 2025 after the prior frontier-AI bill (SB 1047) was vetoed in 2024. It is codified across Business and Professions Code Chapter 25.1 (Sections 22757.10 through 22757.16), Government Code Section 11546.8, and Labor Code Chapter 5.1 (Sections 1107 through 1107.2), with the core frontier-developer provisions effective January 1, 2026. The law imposes published safety-framework, model-transparency, incident-reporting, and whistleblower-protection duties on developers of the largest AI models.

SB 53 is the frontier-model tier of California's generative-AI transparency regime, which also includes California SB 942, the AI Transparency Act, governing disclosure of AI-generated content, and California AB 2013, the Generative AI Training Data Transparency Act requiring developers to publish training-data documentation.

Who must comply with SB 53: frontier developers vs. large frontier developers

SB 53 applies only to developers of the largest models, sorted into two tiers by a compute threshold and a revenue threshold. The distinction controls which obligations attach, so scoping starts here:

  • Frontier model — a foundation model trained using a quantity of computing power greater than 10^26 (one hundred septillion) integer or floating-point operations, including the compute used in any later fine-tuning.
  • Frontier developer — a person that has trained, or initiated the training of, a frontier model. Frontier developers carry the transparency-report and critical-safety-incident-reporting duties.
  • Large frontier developer — a frontier developer that, together with its affiliates, had annual gross revenue exceeding $500,000,000 in the preceding calendar year. Only large frontier developers must publish and maintain a frontier AI framework and the catastrophic-risk assessment summaries.

Frontier AI safety framework requirement

A large frontier developer must write, implement, comply with, and publish on its website a frontier AI framework describing how the organization assesses and mitigates catastrophic risk from its frontier models. The framework must be reviewed and updated at least once per year, and material modifications must be republished.

Transparency report requirement

Before or concurrently with deploying a new frontier model, a frontier developer must publish a transparency report covering the model and its intended uses. A large frontier developer must additionally include summaries of its catastrophic-risk assessments and the steps taken to mitigate those risks.

Critical safety incident reporting to Cal OES

A frontier developer must report any critical safety incident involving one or more of its frontier models to the California Office of Emergency Services within 15 days of discovering the incident. If a critical safety incident poses an imminent risk of death or serious physical injury, the developer must disclose it within 24 hours to an appropriate authority — including a law enforcement or public safety agency with jurisdiction — based on the nature of the incident.

Whistleblower protections for covered employees

Frontier developers must preserve the whistleblower rights of covered employees who raise catastrophic-risk concerns, and a large frontier developer must maintain a reasonable anonymous internal process through which covered employees can disclose those concerns. Retaliation against a protected disclosure is prohibited under Labor Code Sections 1107 through 1107.2.

CalCompute public computing cluster

The Government Operations Agency must develop a framework for CalCompute, a proposed public cloud-computing cluster intended to expand access to compute for safety-focused and academic AI research. The CalCompute provisions become operative only upon an appropriation in a budget act or other statute.

SB 53 penalties and enforcement

The California Attorney General enforces the TFAIA. Under Business and Professions Code Section 22757.15(a), a large frontier developer that fails to publish or transmit a compliant document, makes a statement in violation of Section 22757.12(e), fails to report an incident as required by Section 22757.13, or fails to comply with its own frontier AI framework is subject to a civil penalty — set by the severity of the violation — not exceeding one million dollars ($1,000,000) per violation.

How SB 53 differs from SB 1047

SB 53 is narrower than the vetoed SB 1047 (2024). It centers on transparency — published safety frameworks, transparency reports, and incident reporting — rather than the pre-deployment liability, third-party audits, and full-shutdown ('kill switch') capability that SB 1047 would have required. SB 53 imposes no general civil liability for catastrophic harm; its penalties attach to disclosure and framework-compliance failures.

_Primary sources: the chaptered California SB 53 text, Cal. Bus. & Prof. Code Chapter 25.1, and the California Attorney General's SB 53 page. Retrieved July 27, 2026._

Transparency in Frontier Artificial Intelligence Act (TFAIA) by compliance topic

Focused breakdowns of each part of the law — obligations, scope, penalties, and disclosures — with the primary source behind every requirement.

  • Transparency in Frontier Artificial Intelligence Act (TFAIA) compliance checklist

    A step-by-step checklist of the obligations to satisfy, each tied to the statutory section behind it.

  • Who must comply with Transparency in Frontier Artificial Intelligence Act (TFAIA)

    The organizations, roles, and thresholds that bring an AI system within scope of the law.

  • Transparency in Frontier Artificial Intelligence Act (TFAIA) penalties and enforcement

    Civil penalty amounts, how violations are counted, and the enforcement path under the statute.

  • Transparency in Frontier Artificial Intelligence Act (TFAIA) disclosure requirements

    The notices and disclosures the law mandates, and which consumers, employees, or downstream parties must receive them.

Key obligations

Specific compliance requirements derived from the primary source. Each item links to the relevant statutory section where applicable.

  • GovernanceRole: developerCal. Bus. & Prof. Code § 22757.12

    Publish a written frontier AI safety framework describing how the developer assesses and mitigates catastrophic risks from frontier AI models, with periodic updates.

    Deadlineongoing

  • TransparencyRole: developerCal. Bus. & Prof. Code § 22757.12(c)

    Publish a transparency report before or concurrently with deploying a new frontier model; large frontier developers must include summaries of catastrophic-risk assessments and mitigation steps.

    Deadlinebefore_deployment

  • DocumentationRole: developerCal. Bus. & Prof. Code § 22757.13

    Report critical safety incidents to the California Office of Emergency Services within statutory timeframes.

    Deadlinewithin_statutory_timeframe

  • GovernanceRole: developerCal. Lab. Code § 1107.1

    Preserve covered-employee whistleblower rights and maintain the required notice and anonymous internal disclosure process for catastrophic-risk reports.

    Deadlineongoing

Related comparisons

Use the side-by-side comparisons to see how this law interacts with adjacent US AI laws and governance frameworks.

  • California SB 53 vs Colorado AI Act

    Compare source-backed law records, applicability, penalties, and compliance scope.

Build a compliance program around these obligations

A single law is one input to a broader program. These guides show how to assign accountability, map every obligation to a control, and split developer-versus-deployer duties across the systems a team operates.

  • AI governance: building an AI compliance program

    The operating model — owners, committee, decision rights, lifecycle gates — that turns a law into an accountable, auditable program anchored to the NIST AI RMF GOVERN function.

  • AI compliance framework: the regulatory control map

    How to map each AI system to the laws it triggers, the controls that satisfy them, and the evidence that proves the controls operate.

  • Deployer vs developer obligations

    Which duties attach to building an AI system versus putting one into use — the split most state AI laws turn on.

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Frequently asked questions

When does Transparency in Frontier Artificial Intelligence Act (TFAIA) take effect?

Transparency in Frontier Artificial Intelligence Act (TFAIA) has been effective since January 1, 2026.

What is the maximum penalty under Transparency in Frontier Artificial Intelligence Act (TFAIA)?

Up to $1.0M per violation under Transparency in Frontier Artificial Intelligence Act (TFAIA).

Who must comply with Transparency in Frontier Artificial Intelligence Act (TFAIA)?

Transparency in Frontier Artificial Intelligence Act (TFAIA) applies to developer of AI systems within its jurisdictional scope.

Sources

Every fact above is sourced from the official primary source. Independent verification recommended before acting on the information.

  • Officialleginfo.legislature.ca.gov — Cal. Bus. & Prof. Code §§ 22757.10–22757.16; Cal. Lab. Code §§ 1107–1107.2; Cal. Gov. Code § 11546.8 (Stats. 2025, Ch. 138)
  • leginfo.legislature.ca.gov
  • leginfo.legislature.ca.gov
  • leginfo.legislature.ca.gov
  • leginfo.legislature.ca.gov
  • oag.ca.gov

Last reviewed July 27, 2026. Reviewed by the AI Compliance Atlas editorial process against primary sources. Source selection, retrieval dates, and update rules are documented in the Atlas methodology.

Legal disclaimer

This content is informational only and does not constitute legal advice. Laws change frequently and vary by jurisdiction. Consult qualified legal counsel before making compliance decisions. Information accuracy not guaranteed as of any specific date.

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