Support passage of the AI Labeling Act to require visible and machine-readable disclosures for AI-generated image, video, or audio content, require AI developers and major social media platforms to help users identify content authenticity, and establish technical standards for AI content provenance.

Mark R. Warner · Virginia · Democratic

policy impact 0.72 specificity 0.90 extraction confidence 93%

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Occurrences

The bill will help ensure people know when they are viewing AI-made content or interacting with an AI chatbot by requiring clear labels and disclosures. The AI Labeling Act will: Require both visible and machine-readable disclosures identifying AI-generated digital content, including image, video, or audio content; Require AI developers and all major social media platforms to collaborate to ensure users can identify the authenticity of shared content; and Establish a working group to create technical standards so users and social media platforms can identify AI-generated content and support content provenance.

Warner introduced the bipartisan AI Labeling Act and described its future requirements for disclosures, platform and developer collaboration, and provenance standards for AI-generated content.

Warner, Schatz, Curtis Introduce Bipartisan Legislation To Provide More Transparency On AI-Generated Content
primary · press_release · model gpt-5.5

Evidence

Executive Order 14365 states that the Administration must act with Congress to establish a national AI standard and directs officials to prepare legislative recommendations; it also says an FCC proceeding should consider a federal reporting and disclosure standard for AI models.

As of the latest official federal AI framework located, the federal government was still seeking future AI legislation and rulemaking rather than implementing a passed AI Labeling Act.

unresolved same_term

Federal Register: Ensuring a National Policy Framework for Artificial Intelligence
secondary · model gpt-5.5 · confidence 82%

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The order directs a legislative recommendation for a uniform federal AI policy framework and separately calls for considering a federal reporting and disclosure standard for AI models.

The White House action treated AI disclosure policy as prospective work, not as an enacted AI labeling law with visible and machine-readable content provenance requirements.

unresolved same_term

The White House: Ensuring a National Policy Framework for Artificial Intelligence
secondary · model gpt-5.5 · confidence 80%

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The fact sheet said the Commerce Department would develop guidance for content authentication and watermarking to clearly label AI-generated content, and also said more action would be required through bipartisan legislation.

The prior administration took partial executive action on watermarking and authentication, but the fact sheet itself framed legislation as still needed; this did not deliver passage of an AI Labeling Act.

partial same_term

Archived White House Fact Sheet: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence
secondary · model gpt-5.5 · confidence 78%

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The article reports that Senators Brian Schatz and John Kennedy introduced the Schatz-Kennedy A.I. Labeling Act at the October 24, 2023 AI Insight Forum to increase transparency for AI-generated content.

This identifies the AI Labeling Act as a proposal discussed in Congress, but it does not show enactment or Mark Warner securing passage.

unresolved same_term

A.I. Insight Forums
secondary · model gpt-5.5 · confidence 55%

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Assessments

partial same_term

The promised federal legislative outcome has not been delivered: the AI Labeling Act appears to remain a proposal rather than an enacted law, and the available evidence does not show Mark Warner securing passage or materially advancing an enacted equivalent. The closest federal action was executive guidance/work on AI content authentication and watermarking, which partially addresses labeling and provenance but does not require passage of the AI Labeling Act or implement the full visible and machine-readable disclosure regime for developers and major platforms. Because the partial substance came from administration action rather than Warner-led enactment, this merits partial credit rather than full delivery.

provider codex_cli · model gpt-5.5 · confidence 78%