A shared standard for evaluating whether content about a community serves it — or extracts from it.
Test Your Content →This is not new. Externally produced journalism, documentary, and platform-driven content have always raised questions of representation and extraction. What is new is scale.
AI tools now allow any producer, from anywhere, to generate culturally specific content about a community indefinitely and at near-zero cost. Journalism ethics codes bind professional journalists — not NGOs, platforms, researchers, or AI operators. No shared accountability standard exists that communities can invoke and producers can be held to.
TRACE is a proposal toward that standard.
Score any content project against the TRACE standard. Takes about ten minutes. Results in a shareable accountability card.
Open the Scorecard →A completed TRACE assessment generates a shareable accountability card. This is a real self-assessment from the project that built the standard.
TRACE is built on the Community Content Compact — a manifesto for ethical content production developed through Cariboo Signals, a community journalism project serving rural British Columbia.
The Compact identifies the structural obstacles that good intentions alone cannot solve: project-based funding that produces pilots instead of infrastructure, and extraction models capitalized at incompatible scale.
Meeting the five conditions is achievable. The obstacle is not technical complexity. It is political.
The five conditions in TRACE first appeared as a pre-publication checklist in a podcast conversation about AI-generated cultural content in underserved communities.
The episode named the governance gap TRACE is designed to fill: no shared standard that communities could invoke and producers could be held to. The conversation asked whether AI could legitimately serve communities that lack local creators — and under what conditions.
That question, and the five tests the hosts proposed to answer it, became the seed this framework grew from.
"The real barrier isn't technical — it's structural. Venture-capital-driven extraction models vastly outpace community-controlled alternatives due to funding asymmetries, not superior design."