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Chronicles

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Lawmakers are introducing bipartisan bills across the US to fight AI deepfakes, especially non-consensual AI-generated porn and fake celebrity endorsements

Janus Rose / VICE :

VICE Janus Rose

Context & Ripple Effects

The push follows a longer state-level response to political and sexual deepfakes, including California measures creating a remedy for non-consensual porn and a January 2024 scramble over disclosure rules in political ads. This coverage shows lawmakers treating synthetic likeness abuse as both a privacy and election-integrity issue.

The emphasis on intimate imagery and celebrity endorsements anticipates the more targeted DEFIANCE Act proposal for civil claims over AI intimate images and, later, broader efforts to assign liability for unauthorized deepfakes.

First-order effects

  • Sponsors and affected lawmakers put non-consensual synthetic sexual imagery and deceptive commercial uses of a person’s likeness at the center of the AI-policy agenda.
  • People whose likenesses are misused gain a clearer legislative path toward remedies if these proposals advance; platforms and creators face closer scrutiny over how such material is made and distributed.

Second-order effects

  • A patchwork of state proposals can force platforms, generative-AI providers, advertisers, and talent representatives to assess different disclosure, consent, and takedown expectations across jurisdictions.
  • The focus on fake endorsements broadens the issue beyond election content, connecting deepfake policy to commercial likeness rights and brand-risk controls.

Third-order effects

  • If bipartisan proposals coalesce, US deepfake governance is likely to shift from narrow election rules toward a more general consent-and-liability framework for synthetic identity content, as later reflected in the NO FAKES Act’s proposed liability model.
  • The durability of that framework will depend on whether lawmakers can define harmful impersonation without making ordinary AI-enabled expression or legitimate parody subject to uncertain liability.

The trend: Deepfake policy is evolving from election-specific disclosure mandates into broader governance of consent, likeness, and accountability for AI-generated identity content.