California SB 942: AI Transparency Act

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California SB 942: AI Transparency Act

CA-SB-942 · US

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In force since 2026-08-02. A Binding regulation from US. SB 942 (the 'California AI Transparency Act'), Chapter 291, Statutes of 2024, adds §§ 22757–22757.4 to the California Business and Professions Code — a generative-AI provenance-and-disclosure law regulating 'covered providers' (a person that produces a publicly-accessible GenAI system with over 1,000,000 monthly visitors or users). Covered providers must: make available a free, public AI-detection tool (§ 22757.2(a)); offer users the option of a human-perceptible 'manifest' disclosure marking content as AI-generated (§ 22757.3(a)); and embed a machine-readable 'latent' disclosure in AI-generated image/video/audio content conveying provenance metadata — provider name, GenAI system name and version, creation/alteration time, and a unique identifier (§ 22757.3(b)). AB 853 (Chapter 674, Statutes of 2025) amended the act — most importantly DEFERRING the operative date from Jan. 1, 2026 to Aug. 2, 2026 — and added phased duties for 'large online platforms' and 'GenAI hosting platforms' that make model weights/source code available for download (§§ 22757.3.1–.3.2, operative Jan. 1, 2027) and 'capture device manufacturers' (§ 22757.3.3, operative Jan. 1, 2028). Enforcement is government-only: a $5,000-per-violation civil penalty in an action by the Attorney General, a city attorney, or a county counsel (§ 22757.4) — NO private right of action, distinct from SB 243's private action (§ 22605). Status adopted_not_in_force: enacted, but the covered-provider duties are not operative until Aug. 2, 2026.

Source appraisal — 87 sources across 5 types

Source type	Authority	Count
Peer-reviewed✦ 43 AI	Primary / peer-reviewed	44
Preprint✦ 17 AI	Institutional	37
Research institute✦ 4 AI	Institutional	4
Incident database✦ 1 AI	Institutional	1
Civil society✦ 1 AI	Contextual	1

Authority is an editorial classification by source type — not a quality score for any individual work, and not external peer review. ✦ AI-generated summaries are labelled, never dropped.

Review methods

Review question: How does California SB 942: AI Transparency Act govern AI across the tracked governance topics, and what cited evidence supports each classification?
Review model: Living evidence mapping (scoping-review idiom) — continuously updated and source-grounded. Not a registered systematic review and not externally peer-reviewed.
Source base: Primary legal/regulatory and standards sources; peer-reviewed and preprint academic literature (via DOI/arXiv); institutional and civil-society reports. Source types are classified in the source-appraisal table on this page.
Inclusion: A claim is included only when it traces to a cited primary or published source; coverage classifications are anchored to a named provision or document.
Exclusion: Unsourced assertions, broken or unverifiable links, and sources that do not support the claim they are attached to are excluded.
Appraisal: Sources are classified by source-type authority (see the source-appraisal table) — structured editorial self-classification, not external peer review.
Synthesis: Descriptive mapping of the instrument's coverage across topics, plus its cited literature base.
Limitations: English-language and editorial-capacity coverage asymmetries; reliance on official sources for legal status; some prose tiers are AI-authored and AI-reviewed without human review (labelled as such). This is not peer-reviewed scholarship.

Coverage at a glance

governs3implicit2silent19conflicts0of 24 cells

Coverage fingerprint — color = verdict, height = confidence. One tick per tracked topic.

Adopted but not yet in force

Coverage cells below reflect this instrument's operative content once it enters into force. Time-sensitive policy briefs should also cite the source document directly and check for amendments. PW does not track legislative-progress updates within a single catalog snapshot.

Scope and obligations

SB 942 (the 'California AI Transparency Act'), Chapter 291, Statutes of 2024, adds §§ 22757–22757.4 to the California Business and Professions Code — a generative-AI provenance-and-disclosure law regulating 'covered providers' (a person that produces a publicly-accessible GenAI system with over 1,000,000 monthly visitors or users). Covered providers must: make available a free, public AI-detection tool (§ 22757.2(a)); offer users the option of a human-perceptible 'manifest' disclosure marking content as AI-generated (§ 22757.3(a)); and embed a machine-readable 'latent' disclosure in AI-generated image/video/audio content conveying provenance metadata — provider name, GenAI system name and version, creation/alteration time, and a unique identifier (§ 22757.3(b)). AB 853 (Chapter 674, Statutes of 2025) amended the act — most importantly DEFERRING the operative date from Jan. 1, 2026 to Aug. 2, 2026 — and added phased duties for 'large online platforms' and 'GenAI hosting platforms' that make model weights/source code available for download (§§ 22757.3.1–.3.2, operative Jan. 1, 2027) and 'capture device manufacturers' (§ 22757.3.3, operative Jan. 1, 2028). Enforcement is government-only: a $5,000-per-violation civil penalty in an action by the Attorney General, a city attorney, or a county counsel (§ 22757.4) — NO private right of action, distinct from SB 243's private action (§ 22605). Status adopted_not_in_force: enacted, but the covered-provider duties are not operative until Aug. 2, 2026.

California SB 942: AI Transparency Act addresses 3 contested AI-governance topics explicitly, 2 via general principles,.

Topics governed

implicit
Foundation Models / GPAI— No operative provision regulates foundation models as a class; the regulated party ('covered provider', § 22757.1) is defined by an output/scale hook — a producer of a publicly-accessible GenAI system with over 1,000,000 monthly users — so a foundation-model producer is reached only incidentally via the § 22757.2–.3 output-disclosure duties, not by any model-level obligation
implicit
Deepfakes / Synthetic Content— 'Deepfake' appears only in the SB 942 Legislative Counsel's Digest (a recital about a separate law), never in operative §§ 22757.1–22757.4; a deepfake produced by a covered provider's GenAI system is nonetheless a subset of the AI-generated image/video/audio reached by the § 22757.3(b) latent-disclosure and § 22757.2 detection duties
governs
Transparency Obligations— Cal. Bus. & Prof. Code § 22757.2(a) (added by SB 942) — a covered provider must make available, free and publicly accessible, an AI detection tool that lets a user assess whether image/video/audio content was created or altered by that provider's GenAI system; reinforced by § 22757.3(a) manifest-disclosure user option
Art. 22757.2(a)
“A covered provider shall make available an AI detection tool at no cost to the user that meets all of the following criteria”
source
governs
Open-Weight Frontier Release— Cal. Bus. & Prof. Code § 22757.3(c) (added by SB 942, operative Aug. 2, 2026) — a covered provider that LICENSES its GenAI system to a third party must require by contract that the licensee preserve the § 22757.3(b) disclosure capability, and must revoke the license within 96 hours if the licensee disables it; reinforced by § 22757.3.2 (added by AB 853, operative Jan. 1, 2027), which bars a GenAI hosting platform distributing a system's source code or model weights from knowingly hosting a non-disclosing system
Art. 22757.3(c)(1)
“If a covered provider licenses its GenAI system to a third party, the covered provider shall require by contract that the licensee maintain the system's capability to include a disclosure required by subdivision (b) in content the system creates or alters.”
source
Power-asymmetry analysis
Reaches model-weight / source-code distribution via a disclosure-PRESERVATION condition — the covered-provider licensing duty (§ 22757.3(c), operative 2026) plus the hosting-platform refuse-to-host duty (§ 22757.3.2, operative 2027) — not a restriction on open release as such.
governs
Synthetic Content Provenance— Cal. Bus. & Prof. Code § 22757.3(b) (added by SB 942) — a covered provider must embed a machine-readable 'latent' disclosure in AI-generated image/video/audio conveying provenance metadata: provider name, GenAI system name and version, creation/alteration time, and a unique identifier; reinforced by § 22757.3.1 (AB 853, operative 2027) barring large online platforms from knowingly stripping system provenance data
Art. 22757.3(b)
“A covered provider shall include a latent disclosure in AI-generated image, video, or audio content, or content that is any combination thereof, created by the covered provider's GenAI system”
source

Cross-jurisdiction comparison

How peer instruments treat the topics California SB 942: AI Transparency Act governs.

Cross-jurisdiction coverage of the 3 topics governed by California SB 942: AI Transparency Act, compared with 42 peer instruments
Topic	EU-AIA-2024	US-EO-14110	US-EO-14179	UK-WHITEPAPER-2023	CN-GENAI-2023	G7-HIROSHIMA	OECD-AI-PRIN	COE-AI-CONV	UN-RES-2024	NIST-AI-RMF	BLETCHLEY-2023	SEOUL-2024	NIST-AI-RMF-GENAI	CA-SB-1047	IN-DPDP-2023	BR-AIBILL-2024	ASEAN-AI-GUIDE-2024	AU-AI-STRATEGY-2024	ANTHROPIC-RSP-2024°	OPENAI-PREPAREDNESS-2023°	DEEPMIND-FSF-2024°	META-FRONTIER-2024°	UK-US-AISI-MOU-2024	WH-VOLUNTARY-2023	SG-MODEL-AI-2024	JP-METI-AI-2024	EU-GDPR-2016	EU-GPAI-COP-2025	OMB-M-24-10	GSA-AI-GUIDE-2024	DOD-RAI-2022	FEDRAMP-AI-2024	DFARS-252-204	CA-SB-53	CA-SB-243
Transparency Obligations	governs	implicit	silent	implicit	conflicts	governs	governs	governs	implicit	governs	implicit	governs	governs	implicit	implicit	governs	governs	silent	governs	implicit	implicit	governs	implicit	governs	governs	governs	governs	governs	governs	governs	governs	governs	silent	governs	governs
Open-Weight Frontier Release	governs	implicit	silent	silent	implicit	silent	silent	silent	silent	silent	silent	implicit	silent	governs	silent	silent	silent	implicit	implicit	implicit	implicit	governs	silent	silent	silent	silent	silent	silent	silent	silent	silent	silent	silent	silent	silent
Synthetic Content Provenance	governs	governs	silent	silent	governs	governs	silent	silent	implicit	implicit	silent	silent	governs	silent	silent	implicit	silent	silent	implicit	silent	silent	silent	silent	governs	governs	implicit	silent	implicit	silent	silent	silent	silent	silent	silent	silent

°= industry self-imposed voluntary framework. Comparing a voluntary code's "governs" tint with a binding regulation's "governs" tint flattens the legal-force distinction; use the instrument-page banner for the operative status of each.

How to cite this article

APA 7

Policy Window. (2024). California SB 942: AI Transparency Act [Wiki article — Instrument]. https://policywindow.org/wiki/ca-sb-942

Chicago 17

Policy Window. 2024. "California SB 942: AI Transparency Act." Wiki article (Instrument). https://policywindow.org/wiki/ca-sb-942.

BibTeX

@misc{policywindow-ca-sb-942,
  title  = {California SB 942: AI Transparency Act},
  author = {Policy Window},
  year   = {2024},
  howpublished = {California AI Transparency Act, SB 942, Cal. Stats. 2024, ch. 291; Cal. Bus. & Prof. Code §§ 22757–22757.4 (added by SB 942, approved by Governor Sept. 19, 2024), as amended by AB 853, Cal. Stats. 2025, ch. 674 (approved Oct. 13, 2025) — operative date deferred to Aug. 2, 2026, and §§ 22757.3.1–22757.3.3 added},
  url    = {https://policywindow.org/wiki/ca-sb-942},
  note   = {Primary source: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB942}
}

Evidence base

87 academic & grey-literature sources on the topics this instrument addresses (not commentary on the instrument itself) — catalogued metadata with a primary link; one-line findings are ✦ AI-generated summaries, labeled as such (charter §7.9). Browse the full literature index.

Missing the Mark: Adoption of Watermarking for Generative AI Systems in Practice and Implications Under the New EU AI Act Peer-reviewed✦ AIEmpirical audit finds only 38% of AI image generators implement adequate watermarking and 18% deepfake labelling, exposing a compliance gap under EU AI Act Article 50.
An interdisciplinary account of the terminological choices by EU policymakers ahead of the final agreement on the AI Act: AI system, general purpose AI system, foundation model, and generative AI Peer-reviewed✦ AITraces how the AI Act's legal text shifted across versions among the terms 'AI system, general purpose AI system, foundation model, and generative AI', exposing definitional instability in the regime.
The EU model of AI governance: regulating artificial intelligence through law and policy Peer-reviewed✦ AIAnalyses how the AI Act's risk-based model handles general-purpose and foundation models whose 'autonomous content generation challenges legal categories of authorship, accountability, and control'.
Generative AI and data protection Peer-reviewed✦ AIExamines friction between foundation-model training and the GDPR, noting models that 'memorize and leak pieces of training data' cannot be treated as anonymous.
The Current Landscape of Deepfake Legislation in the United States Peer-reviewed✦ AIThematic analysis of 319 state deepfake bills (2019-2024) finds a fragmented patchwork concentrated on political and sexually-explicit content.
Reimagining U.S. Tort Law for Deepfake Harms: Comparative Insights from China and Singapore Peer-reviewed✦ AIArgues fragmented US tort doctrines (defamation, publicity, IIED) are ill-suited to deepfake harms and draws remedial lessons from Chinese and Singaporean law.
A Teleological Interpretation of the Definition of DeepFakes in the EU Artificial Intelligence Act—A Purpose-Based Approach to Potential Problems With the Word 'Existing' Peer-reviewed✦ AIWarns a narrow reading of 'existing' in the AI Act's deepfake definition could exclude synthetic media from transparency duties, urging a teleological interpretation.
Audio deepfakes and the regulation of the landlords of creativity Peer-reviewed✦ AIArgues US, EU and Chinese regimes fail to assign audio-deepfake liability to 'landlords of creativity' (foundation-model providers) and proposes holding them accountable.
Navigating China's regulatory approach to generative artificial intelligence and large language models Peer-reviewed✦ AIAnalyses China's 2022 deep-synthesis and 2023 generative-AI rules, including mandatory labelling/watermarking of synthetic content as a provenance-governance model.
'Sora is incredible and scary': public perceptions and governance challenges of text-to-video generative AI models Peer-reviewed✦ AIQualitative analysis of public commentary on Sora finds blurred real/fake boundaries drive demand for law-enforced AI-content labelling and provenance.
Human detection of political speech deepfakes across transcripts, audio, and video Peer-reviewed✦ AIExperiments show "audio and visual information enables more accurate discernment than text alone" — humans rely more on how something is said than on transcript content.
GPTs are GPTs: Labor market impact potential of LLMs Peer-reviewed✦ AIFinds around 80% of the U.S. workforce "could have at least 10% of their work tasks affected" by LLMs, which exhibit "traits of general-purpose technologies".

+ 75more across this instrument's topics — see the literature index.

References

California AI Transparency Act, SB 942, Cal. Stats. 2024, ch. 291; Cal. Bus. & Prof. Code §§ 22757–22757.4 (added by SB 942, approved by Governor Sept. 19, 2024), as amended by AB 853, Cal. Stats. 2025, ch. 674 (approved Oct. 13, 2025) — operative date deferred to Aug. 2, 2026, and §§ 22757.3.1–22757.3.3 added
No operative provision regulates foundation models as a class; the regulated party ('covered provider', § 22757.1) is defined by an output/scale hook — a producer of a publicly-accessible GenAI system with over 1,000,000 monthly users — so a foundation-model producer is reached only incidentally via the § 22757.2–.3 output-disclosure duties, not by any model-level obligation
'Deepfake' appears only in the SB 942 Legislative Counsel's Digest (a recital about a separate law), never in operative §§ 22757.1–22757.4; a deepfake produced by a covered provider's GenAI system is nonetheless a subset of the AI-generated image/video/audio reached by the § 22757.3(b) latent-disclosure and § 22757.2 detection duties
Cal. Bus. & Prof. Code § 22757.2(a) (added by SB 942) — a covered provider must make available, free and publicly accessible, an AI detection tool that lets a user assess whether image/video/audio content was created or altered by that provider's GenAI system; reinforced by § 22757.3(a) manifest-disclosure user option
Cal. Bus. & Prof. Code § 22757.3(c) (added by SB 942, operative Aug. 2, 2026) — a covered provider that LICENSES its GenAI system to a third party must require by contract that the licensee preserve the § 22757.3(b) disclosure capability, and must revoke the license within 96 hours if the licensee disables it; reinforced by § 22757.3.2 (added by AB 853, operative Jan. 1, 2027), which bars a GenAI hosting platform distributing a system's source code or model weights from knowingly hosting a non-disclosing system
Cal. Bus. & Prof. Code § 22757.3(b) (added by SB 942) — a covered provider must embed a machine-readable 'latent' disclosure in AI-generated image/video/audio conveying provenance metadata: provider name, GenAI system name and version, creation/alteration time, and a unique identifier; reinforced by § 22757.3.1 (AB 853, operative 2027) barring large online platforms from knowingly stripping system provenance data

Cite this article

6 formats · 1-click copy

@misc{policywindow-ca-sb-942,
  title  = {California SB 942: AI Transparency Act},
  author = {Policy Window},
  year   = {2024},
  howpublished = {California AI Transparency Act, SB 942, Cal. Stats. 2024, ch. 291; Cal. Bus. & Prof. Code §§ 22757–22757.4 (added by SB 942, approved by Governor Sept. 19, 2024), as amended by AB 853, Cal. Stats. 2025, ch. 674 (approved Oct. 13, 2025) — operative date deferred to Aug. 2, 2026, and §§ 22757.3.1–22757.3.3 added},
  url    = {https://policywindow.org/wiki/ca-sb-942},
  note   = {Primary source: https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB942}
}

Verify the year + paste-and-refine. Primary source linked in BibTeX/RIS note.

Permalink downloads.bib .ris .csl.json

Persistent identifier: https://policywindow.org/wiki/ca-sb-942 — committed-stable URL with content-versioning via ?asOf= (rollout pending per methodology §7). DOIs via Zenodo are on the roadmap.

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View history — every captured revision of this article · What links here

Source: Edit on GitHub (search for `CA-SB-942`)

Per-audience views

Provisions →Article-by-article obligation breakdown for procurement + RFP authors.
Disclosure form →Vendor-disclosure questionnaire derived from this instrument's operative obligations.
Harm narratives →Documented harms relevant to this instrument's topics, for civil-society advocacy.
Briefing pack →Journalist-ready summary with quotes + dates + primary-source links.

[1] California AI Transparency Act, SB 942, Cal. Stats. 2024, ch. 291; Cal. Bus. & Prof. Code §§ 22757–22757.4 (added by SB 942, approved by Governor Sept. 19, 2024), as amended by AB 853, Cal. Stats. 2025, ch. 674 (approved Oct. 13, 2025) — operative date deferred to Aug. 2, 2026, and §§ 22757.3.1–22757.3.3 added

[2] No operative provision regulates foundation models as a class; the regulated party ('covered provider', § 22757.1) is defined by an output/scale hook — a producer of a publicly-accessible GenAI system with over 1,000,000 monthly users — so a foundation-model producer is reached only incidentally via the § 22757.2–.3 output-disclosure duties, not by any model-level obligation

[3] 'Deepfake' appears only in the SB 942 Legislative Counsel's Digest (a recital about a separate law), never in operative §§ 22757.1–22757.4; a deepfake produced by a covered provider's GenAI system is nonetheless a subset of the AI-generated image/video/audio reached by the § 22757.3(b) latent-disclosure and § 22757.2 detection duties

[4] Cal. Bus. & Prof. Code § 22757.2(a) (added by SB 942) — a covered provider must make available, free and publicly accessible, an AI detection tool that lets a user assess whether image/video/audio content was created or altered by that provider's GenAI system; reinforced by § 22757.3(a) manifest-disclosure user option

[5] Cal. Bus. & Prof. Code § 22757.3(c) (added by SB 942, operative Aug. 2, 2026) — a covered provider that LICENSES its GenAI system to a third party must require by contract that the licensee preserve the § 22757.3(b) disclosure capability, and must revoke the license within 96 hours if the licensee disables it; reinforced by § 22757.3.2 (added by AB 853, operative Jan. 1, 2027), which bars a GenAI hosting platform distributing a system's source code or model weights from knowingly hosting a non-disclosing system

[6] Cal. Bus. & Prof. Code § 22757.3(b) (added by SB 942) — a covered provider must embed a machine-readable 'latent' disclosure in AI-generated image/video/audio conveying provenance metadata: provider name, GenAI system name and version, creation/alteration time, and a unique identifier; reinforced by § 22757.3.1 (AB 853, operative 2027) barring large online platforms from knowingly stripping system provenance data

Scope and obligations

Topics governed

Cross-jurisdiction comparison

How to cite this article

Related instruments

Evidence base

References

Cite this article

Per-audience views

Scope and obligations

Topics governed

Cross-jurisdiction comparison

How to cite this article

Related instruments

Evidence base

References

Cite this article

Per-audience views