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Synthetic-media impersonation

Generated voices and images can borrow someone else’s identity to mislead an audience.

Last reviewed
Jurisdiction / scope
Global
Record date / period
Date not established
Assessment confidence
Not scored

Overview

Impersonation uses a recognizable identity to give a fabricated message apparent authority.

Why it matters

Recipients may act before they can establish who actually made a message.

Current evidence

The FCC documented AI-generated voice cloning in a New Hampshire election robocall campaign.

What we know

A documented campaign establishes that this misuse occurred. It does not measure how often all synthetic media deceive people.

What we do not know

How many recipients changed their behavior, and which safeguards work across different channels?

Key uncertainties

Exposure, audience interpretation, distribution and independent verification all matter.

Current assessment

Treat identity and provenance as questions to verify. This registry assigns no universal severity score.

Methodology

PSYBORG synthesis of the linked historical incident and risk guidance; not a prevalence estimate.

Related records.

Links provide context. Read the stated relationship; inclusion does not imply misconduct, endorsement or a legal obligation.

Incidents

Research

Regulations

Sources.

  1. Federal Communications Commission · Primary source · Enforcement announcement
    Published 2024-09-26 · Accessed 2026-10-07

  2. NIST · Primary source · Government technical report
    Published 2024-07 · Accessed 2026-10-07

    DOI: 10.6028/NIST.AI.600-1

Record history.

Review dates track editorial checks. Updates may reflect corrections or added context; they are not new incidents. Private draft revisions are omitted.

  1. · Revision 1

    Initial sourced historical collection. Review date describes this record, not the date of the event.

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