Atlas node · Scenes / Learning · teaching-ready system
Human-Buffer
Consent-forward computer-vision and sensing workshop structure where participants can learn what a system perceives, what it ignores, and how consent changes the room.
What it is
Human-Buffer is a workshop and image-system framework that treats perception, privacy, refusal, and retention as part of the visible interface rather than as hidden support policy.
What it lets people do
It lets participants and learners inspect how a vision system sees, what it does not keep, and how consent can be made actionable through interface behavior and workshop structure.
What is public now
Evidence status
Status: teaching-ready system. Public source materials already support careful claims about consent architecture and workshop framing, but public proof should continue to rely on diagrams, staged screenshots, and redacted materials rather than participant imagery.
Next proof object: Redacted workshop screenshots or staged interface captures that show the participant flow without exposing identifiable people.
What remains unresolved
- The page should not imply workshop outcomes or participant impact beyond what the public materials can show.
- Any future media proof needs explicit public-safe clearance or staged stand-ins.
- A stronger public link between the assumption ledger and interface behavior would improve transfer.
Methods surfaced
Proof objects
Related Fleet Projects
Source trail
- Project repo — Implementation truth.
- Research note — Public method context.
- Privacy & Ethics statement — Broader public operating principles.
- Last reviewed: 2026-05-15
The Atlas is the relationship layer. Use the repository for current project-specific truth, and use studio-notes when methods, decisions, or teaching material need to travel across the fleet.
Where to go next
- Open Memory Engine — Follow the consent-forward branch into retention and revocation questions.
- Open Syllabus — See the curriculum archive layer that helps this travel into teaching contexts.