Deepfake content not disclosed

Attach a visible 'AI-generated or manipulated' disclosure to face-swapped, voice-cloned, or likeness-generated media on every path that publishes or returns it.

In the handler that publishes or serves the output of a face-swap, voice-clone, lip-sync, or likeness model, add the disclosure to the content itself (an overlay or caption on image and video, a spoken or on-screen statement for audio) and to the post text where it is published; the publish function refuses media that lacks the disclosure. In an evidently artistic or satirical work the disclosure can be adapted so it does not spoil the work, but it is still present. Pair it with machine-readable marking so the label survives re-sharing.

Where it goes: 9 AI output handling, 1 application source code, 14 user-facing text.

What reviewers look for: on the path from the swap, clone, or lip-sync call to publish(, upload_to_social(, cms.create_post(, or FileResponse(, a disclosure the audience actually sees or hears ('AI-generated', 'digitally altered', an ai_generated_badge, caption += disclosure), not only a database flag.

swapped = swapper.get(frame, target_face, source_face, paste_back=True)
cv2.imwrite(out_path, swapped)
return FileResponse(out_path)

swapped = swapper.get(frame, target_face, source_face, paste_back=True)
cv2.putText(swapped, 'AI-generated / digitally altered', (10, swapped.shape[0] - 15),
            cv2.FONT_HERSHEY_SIMPLEX, 0.7, (255, 255, 255), 2)
cv2.imwrite(out_path, swapped)
return FileResponse(out_path)

Engineering guidance, not legal advice. Each provision below may add its own details (a cadence, a deadline, a required notice element): open it for those.