US · AI law tracker
S 3813 — US
S 3813 is an AI governance legislation from US, currently introduced. A bill has been introduced requiring notice to the Register of Copyrights for copyrighted works in generative AI models [1]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2026-05-08.
Status & timeline
- Regulatory stage
- introduced
- Bill status
- introduced
- Authority / governing body
- US Congress
- Chamber
- senate
- Document type
- legislation
Next deadline: No fixed deadline — effective upon enactment if passed.
Subscriber only
Full obligation matrix
| Actor | Obligation | Deadline | Source |
|---|---|---|---|
| provider | Submit a notice to the Register of Copyrights regarding copyrighted works used in building generative artificial intelligence models. | — | — |
Subscriber only
Enforcement risk score
Announced regulation; enforcement footprint still forming.
Subscriber only
Role-based compliance checklist
- general_counsel Track the progress of S. 3813 in the U.S. Congress.
- cto Assess current data governance and record-keeping practices for AI training data, especially regarding copyrighted materials.
- compliance_officer Prepare for potential new disclosure requirements related to AI model training data and intellectual property.
Subscriber only
Vendor impact assessment
- Vendor risk class
- medium
- Procurement categories
- foundation_models, code_assistants
Vendors providing generative AI models or training data may need to provide transparency regarding the copyrighted materials included in their datasets to help customers comply with potential new regulations.
Sample vendor questions
- What copyrighted materials are used in training your generative AI models?
- Do you have a process for identifying and documenting copyrighted works in your training datasets?
- How would you support our compliance with a requirement to disclose copyrighted training data?
Intelligence briefs (1)
US Bill Proposed to Mandate Copyright Notice for Generative AI Training Data
A bill has been introduced requiring notice to the Register of Copyrights for copyrighted works in generative AI models [1].
This development signals an emergent focus on intellectual property transparency obligations for US federal AI model builders.
Deadline: No fixed deadline — effective upon enactment if passed.
Primary source →Frequently asked questions
- What is S 3813?
- A proposed US federal bill has been introduced to the Committee on the Judiciary, aiming to establish a requirement for submitting notice to the Register of Copyrights [1]. This notice would pertain to copyrighted works utilized in the development of generative artificial intelligence models [1]. The bill seeks to address intellectual property considerations within the rapidly evolving AI landscape. Primary source →
- Why does S 3813 matter?
- This development signals an emergent focus on intellectual property transparency obligations for US federal AI model builders. Primary source →
- Who does S 3813 affect?
- Organizations developing or deploying generative artificial intelligence models within the US federal jurisdiction, particularly those that incorporate copyrighted materials in their training datasets, are primarily within scope. This includes entities involved in the research, development, and commercialization of foundation models and other generative AI applications. Compliance functions, legal departments, and product development teams engaged in AI system design may need to monitor this legislative progress. Primary source →
- What are the key dates for S 3813?
- No fixed deadline — effective upon enactment if passed. Primary source →
- What is the current status of S 3813?
- As of the last published update, S 3813 is at the "introduced" stage, with bill status "introduced". Primary source →
- Where can I find the primary source for S 3813?
- The primary source for the most recent update is at https://www.govinfo.gov/app/details/HOB-2026/HOB-2026-s3813. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →
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