Topic · Disclosure, explainability, and model documentation
AI Transparency
AI transparency laws mandate disclosure of AI use, explainability of outputs, and model documentation. AIGI tracks every primary-source transparency requirement affecting AI deployers globally. As of the most recent update, AIGI tracks 143 primary-source items on ai transparency across global jurisdictions.
Coverage at a glance
- Items tracked
- 143
- Jurisdictions
- 8
- Last update
- 1/8/2026
Most active jurisdictions
Recent ai transparency activity
- NY legislation enacted 1/8/2026
[NY Legislature] S8828 (2025-2026): Relates to transparency and safety requirements for developers of artificial intelligence models
This New York bill S8828, signed by the Governor, establishes transparency and safety requirements for AI model developers and mandates the creation of an AI oversight office.
Authority: New York Legislature
- TX legislation committee
[TX Legislature] HB4849 (88R): Relating to notice of facial recognition technology used by business entities in publicly accessible spaces.
Texas HB4849 proposes requiring business entities to provide notice when using facial recognition technology in publicly accessible spaces.
Authority: Texas Legislature
- TN legislation introduced
[TN Legislature] HB2052 (GA114): Consumer Protection — As introduced, requires certain food retail establishments to use a nondigital presentation of price; prohibits a food r
Tennessee Bill HB2052 requires food retail establishments to use non-digital price displays and prohibits personalized algorithmic pricing.
Authority: Tennessee Legislature
- BR agency report effective 5/21/2026
Nota da ANPD sobre os decretos que regulamentam o Marco Civil da Internet
Brazil's ANPD announces new competencies assigned by presidential decrees to oversee digital platforms' systemic actions against criminal content, fraud, and scams.
Authority: Autoridade Nacional de Proteção de Dados (Brazil)
- NY news analysis introduced 5/14/2026
[NYC Council] NYC Council Speaker Julie Menin and Majority Shaun Leader Abreu Introduce Legislation to Protect New Yorkers from Dynamic and Surveillance Pricing
New York City Council members introduce two bills to ban dynamic pricing in grocery stores and prohibit businesses from using consumer personal data for individualized surveillance pricing.
Authority: New York City Council
- CA agency report floor vote 5/21/2026
[CA Legislature] Assembly Floor Session
California Assembly floor session on May 21, 2026, reports the passage of AB-2713, the California AI Transparency Act, and the failure of SB-295, the California Preventing Algorithmic Collusion Act.
Authority: California Legislature
- AU speech enforcement 5/21/2026
IAPP Sydney KnowledgeNet May 2026
The OAIC emphasizes moving beyond privacy awareness to concrete action, agency, and alternatives, highlighting enforcement findings on investment, culture, transparency (especially for facial recognition), and process in Australian privacy compliance.
Authority: Office of the Australian Information Commissioner
- NY news analysis introduced 5/14/2026
[NYC Council] NYC Council Speaker Julie Menin and Majority Shaun Leader Abreu Introduce Legislation to Protect New Yorkers from Dynamic and Surveillance Pricing
New York City Council introduces two bills to ban surveillance pricing using personal data and restrict dynamic pricing in grocery stores to protect consumers.
Authority: New York City Council
- NY news analysis introduced 5/14/2026
[NYC Council] NYC Council Speaker Julie Menin and Majority Shaun Leader Abreu Introduce Legislation to Protect New Yorkers from Dynamic and Surveillance Pricing
New York City Council leaders introduce two bills to restrict dynamic and surveillance pricing, banning businesses from using personal data to set individual prices and limiting grocery price increases within 24 hours.
Authority: New York City Council
- NY news analysis introduced 5/14/2026
[NYC Council] NYC Council Speaker Julie Menin and Majority Shaun Leader Abreu Introduce Legislation to Protect New Yorkers from Dynamic and Surveillance Pricing
New York City Council leaders introduce legislation to ban using personal data for individual price setting and limit grocery price increases to once every 24 hours.
Authority: New York City Council
- NY news analysis introduced 5/14/2026
[NYC Council] NYC Council Speaker Julie Menin and Majority Shaun Leader Abreu Introduce Legislation to Protect New Yorkers from Dynamic and Surveillance Pricing
New York City Council introduces two bills to ban surveillance pricing based on personal data and restrict dynamic pricing in grocery stores.
Authority: New York City Council
- EU rulemaking notice comment period 5/8/2026
[EU Digital Strategy] Consultation on the draft guidelines on transparency obligations under the AI Act
The EU AI Office has opened a consultation on draft guidelines to help AI providers and deployers comply with transparency obligations under Article 50 of the AI Act.
Authority: European AI Office
+ 131 more items in the full archive — start trial for full access.
Frequently asked questions
- What is AI Transparency?
- AI transparency laws mandate disclosure of AI use, explainability of outputs, and model documentation. AIGI tracks every primary-source transparency requirement affecting AI deployers globally.
- How many ai transparency laws does AIGI track?
- AIGI currently tracks 143 primary-source items under ai transparency — spanning bills, regulations, enforcement actions, court opinions, and agency guidance from authorities across global jurisdictions.
- Which jurisdictions are most active on ai transparency?
- Most active jurisdictions on ai transparency in the current corpus: NY (22), US (4), NJ (4), CA (3), EU (3).
- How current is AIGI's ai transparency coverage?
- The most recent ai transparency item AIGI tracked was published on 1/8/2026. AIGI runs continuous ingestion against every active authority source.
- Where do AIGI's ai transparency citations come from?
- Every item on this page links to its primary government or research source. AIGI's citation methodology is documented at /how-we-cite — we do not paraphrase or remix secondary commentary; we resolve every pointer to the underlying authority.
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