---
title: "A familiar face on screen is not proof: a classroom demo"
url: https://memory.wiki/tdWslAoO
updated: 2026-11-13T03:22:21.723Z
source: "cli"
---
# A familiar face on screen is not proof: a classroom demo

Media-literacy teachers use LiveFaceSwap to show students that a face on a video call does not prove who is speaking. A simple version of the lesson:

1. The teacher appears on camera with their own face.
2. The teacher switches to one of the library's original characters, which show no real people.
3. The class talks about what changed and what stayed the same: voice, gestures, background.

The route into a call app runs through the clean output window and OBS Virtual Camera, as explained on the [video call page](https://livefaceswap.io/face-swap-video-call). Recordings carry an AI generated mark. Tell everyone on the call about the swap first. Home: [LiveFaceSwap](https://livefaceswap.io/).

For adults 18+; use only your own face or one you have consent to use.


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## Summary
Media literacy teachers use LiveFaceSwap to demonstrate that video call appearances do not verify a speaker's identity. The tool allows users to replace their face with digital characters while maintaining original voice and gestures.

## Themes
- media literacy education
- AI identity verification
- video call security
- digital ethics

## Key takeaways
- LiveFaceSwap is used by teachers to demonstrate that video call visuals do not guarantee the identity of the speaker.
- The lesson plan involves comparing voice, gestures, and background consistency while switching between a real face and an avatar.
- Technical setup for video calls requires OBS Virtual Camera and a clean output window.
- AI generated content must be marked as such in recordings.
- Users must be 18 or older and possess consent for any face used in the software.

## Insights
- The use of non-human avatars serves as a pedagogical tool to isolate the disconnect between visual identity and vocal authenticity.
- Technical implementation relies on a specific software chain involving clean output windows and virtual camera routing.
- Ethical guidelines are framed as a prerequisite for use, specifically regarding consent and age restrictions.

## Open questions / gaps
- What specific criteria define the library of original characters that contain no real people?
- How does the software distinguish between a user's own face and a third party face to enforce consent?