Exploring access control models for shared AI outputs
avishic · reddit · 2026-08-24
Sharing AI-generated documents via links often collapses multiple permissions into a single URL. This post explores a sharing model that separates the rendered artifact, source context, edit history, and reuse permissions. It discusses which controls matter in practice—expiry, named viewers, version pinning, download restrictions, and provenance tracking—and where rules should reside for clarity.
More from Safety
- macOS Codex leaks ChatGPT history by bypassing TCC permissions — mer__edith · 2026-08-24
- UChicago social sciences to ban AI in core classes, sparking education debate — soumitrashukla9 · 2026-08-24
- Civitai adds permanent paid access, sparking closed-source concerns — terrariyum · 2026-08-24
- Europe and America's Divergent AI Strategies: Regulation vs. Speed to Counter China — VraserX · 2026-08-24
- Is Anthropic irresponsible for keeping short timeline evidence private? — YafahEdelman · 2026-08-24
- LLM diagnostic accuracy drops 60% when communicating with patients — peterwildeford · 2026-08-24