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Safety

Deepfake Safety Checklist

A safety-first checklist for deepfake creation that covers consent, review gates, and responsible distribution.

Overview

This deepfake safety checklist adds extra controls because outputs can be mistaken for real images. It prioritizes verification, reviews, and post-delivery monitoring.

Use it as a shared reference for creators, reviewers, and compliance teams.

Key topics: deepfake safety checklist, deepfake consent, safe deepfake workflow.

Before you generate

Confirm identity permissions and document the intended use. If a request lacks context, pause and ask for clarity.

Set restrictions around face visibility, distribution, and watermarking before any assets are processed.

  • Collect consent and identity confirmation.
  • Define distribution scope and channels.
  • Agree on watermark requirements.

During review

Use two reviewers for high-impact projects. Ensure facial features, body alignment, and lighting are consistent.

If a result could be misread as real, add a disclosure label or watermark.

  • Run a second reviewer for realism checks.
  • Document any edits made post-generation.
  • Flag and correct anomalies before export.

After delivery

Share assets through controlled links and provide a point of contact for takedown requests.

Monitor for misuse if the content is public-facing, and keep an audit record.

  • Use expiring delivery links.
  • Provide a takedown contact.
  • Log distribution and retention dates.

Deepfake checklist

  • Consent and identity verified.
  • Distribution scope documented.
  • Two reviewers signed off.
  • Disclosure label or watermark added.
  • Post-delivery monitoring enabled.

Keyword focus links

Jump to the core tools, workflows, and policies tied to this guide.

Frequently asked questions

Ready to put this guide into action?

Launch a private workspace, apply the checklist, and deliver outputs with confidence.

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