An analysis of the proposed federal law that gives copyright owners subpoena power to determine if their work was used to train AI models.

For music creators and publishers, the biggest challenge in fighting copyright infringement by generative AI is proving that their work was actually used. AI models are often called a **"black box"** because the data used for training is proprietary and concealed by developers.

The **Transparency and Responsibility for Artificial Intelligence Networks Act** (TRAIN Act) is bipartisan federal legislation specifically designed to solve this problem by giving copyright owners a legal tool to pierce that corporate secrecy and compel disclosure.

The 'Black Box' Problem for Creators

Current U.S. law provides no reliable mechanism for a copyright holder (like an independent musician or record label) to confirm whether an AI company used their original works—their sound recordings or compositions—to train its model. [1]

This lack of transparency creates an insurmountable barrier to legal action:

• **High Cost of Proof:** Without knowing the training data, a creator must rely on expensive forensic analysis or lengthy, speculative litigation just to *begin* proving that infringement occurred.
• **Information Asymmetry:** AI developers possess all the critical information (the training log), while creators have none. This heavily favors Big Tech companies in any dispute.

The TRAIN Act’s Core Solution: Administrative Subpoenas

The central provision of the TRAIN Act is the creation of a new, non-litigation, **administrative subpoena process** under the U.S. Copyright Act. This process is modeled on the one currently used to address internet piracy, providing a more streamlined path to obtaining critical information. [2]

The Purpose of the Subpoena

The subpoena allows a creator to compel a model developer to disclose "records sufficient to identify with certainty" whether the creator's copyrighted works were used to train the generative AI model. [4]

Limited Scope of Disclosure

To protect the AI developer's trade secrets, the disclosure is intentionally narrow. Developers are only required to disclose information about the copyrighted works likely owned or controlled by the requester. This prevents creators from launching fishing expeditions to access unrelated third-party works or proprietary model weights. [2]

How the Subpoena Process Works

The TRAIN Act establishes clear, strict requirements for a copyright holder to initiate the transparency process:

1. **Good Faith Declaration:** The copyright owner must submit a sworn declaration that they have a **subjective good faith belief** that their works were used to train the model, and that their purpose is solely to protect their rights.
2. **Court Request:** The owner submits the proposed subpoena and declaration to the clerk of a U.S. district court.
3. **Expeditious Issuance:** If the proposed subpoena is in the proper form, the court clerk is required to **expeditiously issue and sign** it. No judge is required to review the merits of the underlying infringement claim at this stage.
4. **Developer Compliance:** The AI model developer, upon receipt, is legally bound to promptly disclose the requested records or copies to the copyright owner. [4]

The Crucial 'Rebuttable Presumption'

The most powerful enforcement mechanism in the TRAIN Act is the penalty for non-compliance. It places the burden of proof squarely on the AI developer if they ignore the subpoena.

This "rebuttable presumption" is critical:

• **Incentive to Comply:** It strongly incentivizes AI companies to maintain accurate training records and comply with the subpoena, as non-compliance immediately gives the creator a huge legal advantage in a potential lawsuit.
• **Not Automatic Guilt:** The presumption is "rebuttable," meaning the AI developer can still present evidence in court to prove that, despite the non-compliance, they did not actually infringe the copyright.

Who Supports the TRAIN Act?

The TRAIN Act has garnered strong, unified support from the entire creative community, from independent artists to major performing rights organizations (PROs). [1]

• **Independent Labels (A2IM):** Support the bill as a necessary tool for smaller creators who lack the resources of major corporations to fight the AI "black box."
• **Music PROs (ASCAP, BMI, SESAC):** These organizations, which manage the rights of thousands of songwriters, see the bill as the most efficient way to achieve accountability and ensure their members are properly compensated for the use of their musical compositions.
• **Writers and Publishers:** Organizations like the Authors Guild and the Association of American Publishers strongly endorse the TRAIN Act, as it addresses the same transparency issues faced by text and literary creators.

Conclusion

The TRAIN Act is a targeted piece of legislation that seeks to restore equilibrium to the copyright system in the AI age. By creating a mandatory transparency mechanism, it empowers creators with the information they need to enforce their rights, shifting the balance of power from the large AI development companies back toward the artists and publishers whose content fuels the generative technology.

References & Further Reading

1. Welch Leads Bill to Protect Musicians, Artists, and Creators from Unauthorized A.I. Training - Senator Peter Welch.
2. Transparency and Responsibility for Artificial Intelligence Networks (TRAIN) Act of 2025 - One Pager.
3. Legislation For Creators: NO FAKES Act vs. TRAIN Act - SoundExchange.
4. Text - S.2455 - 119th Congress (2025-2026): Transparency and Responsibility for Artificial Intelligence Networks Act.
5. TRAIN Act Transparency and Responsibility for Artificial Intelligence Networks Act - Codify Legal Publishing.