Deepfake & AI Disinformation Ban
Executive Summary
Generative AI now enables convincing audio, image, and video fabrications at scale. The harms include election interference, consumer fraud, reputational abuse, panic-inducing hoaxes, and non-consensual impersonation. This reform creates a narrowly tailored framework: banning malicious deepfakes in high-risk contexts, mandating clear disclosure for synthetic content in elections and public safety, and requiring platforms to maintain provenance standards and rapid takedown systems.
The Problem
-
Elections at Risk: Deepfakes threaten democratic processes by spreading false statements or fabricated videos of candidates just before elections.
-
Consumer & Public Safety Harms: Fraudulent AI audio calls, scam solicitations, and fabricated emergency alerts can cause financial loss and public panic.
-
Reputational Abuse: Individuals face impersonation or defamation through false depictions, without clear recourse.
-
Technology Gap: While watermarking and provenance standards exist, they are not consistently used. Platforms lack uniform duties for labeling or incident response.
The Reform
1. Core Prohibitions
-
Malicious deepfakes banned: Illegal to create or distribute materially deceptive AI media in high-risk contexts with intent to cause harm.
-
Election-window rules: Within 60–90 days before an election, distributing synthetic content about candidates or election processes is prohibited unless clearly labeled and not materially deceptive.
-
Robocall cloning ban: AI-generated voices in robocalls are prohibited, aligning with the FCC’s ruling under the TCPA.
2. Labeling & Disclosure
-
Synthetic content disclosure: Political ads, public safety alerts, and other high-risk uses must carry clear on-screen or audible disclosures plus metadata.
-
Provenance standards: Major platforms must adopt C2PA-compatible content credentials and preserve provenance through upload and sharing.
3. Platform Duties
-
Establish detection and response pipelines for high-risk deepfakes.
-
Provide rapid takedown or corrective labels upon credible notice.
-
Issue quarterly transparency reports.
-
Maintain an appeals process for wrongfully flagged content.
4. Remedies & Penalties
-
Private right of action for individuals and campaigns.
-
State AG and regulator enforcement with civil fines.
-
Criminal liability for willful, mass-scale disinformation causing election interference, fraud, or panic.
-
Expedited correction orders requiring platforms to label or link to verified debunks.
Safeguards
-
Protected Speech Preserved: Parody, satire, and artistic expression remain lawful.
-
Narrow tailoring: Restrictions focus only on materially deceptive content in high-risk contexts.
-
Due process: Platforms must offer appeals, publish enforcement data, and face independent auditing.
-
No government editorial control: Standards reference open technical protocols and independent audits, not government-approved content.
Oversight & Auditing
-
Independent accredited auditors verify compliance with provenance, disclosure, and takedown standards.
-
NIST & AI Safety Institute guidance informs technical best practices, ensuring non-governmental but credible oversight.
Technology Standards
-
Provenance: Adoption of C2PA content credentials.
-
Watermarking: Encouraged for AI generators where feasible.
-
Detection: Continuous testing and process metrics, not mandated algorithms.
Implementation Roadmap
Phase 1 (0–6 months): Definitions, disclosure templates, auditor accreditation. Phase 2 (6–12 months): Platform duty-of-care systems for elections and public safety. Phase 3 (12–24 months): Transparency reports, audits, harmonization with state election bodies and FCC enforcement.
Integration with Other Reforms
-
Journalism Standards: Verified outlets benefit from provenance tools and safe harbor when disclosing manipulations.
-
Social Media Transparency Rules: Bot bans and ad registries complement disclosure of synthetic content.
-
Independent Oversight & Auditing: Uses the same auditor ecosystem, reinforcing non-government accountability.
Values Statement
This reform restores trust, fairness, and accountability by ensuring that AI-driven deception cannot undermine democracy, safety, or individual dignity.