An open, model-agnostic standard designed to help AI systems make human, community, environmental and long-term consequences visible without taking the decision away from the human.
Proportionality · Evidence · Human autonomy · Responsible decision-making · Integral ecology · Long-term thinking
Use it, test it, critique it, benchmark it or integrate it into your AI system. The project includes a runnable implementation, benchmark cases and an MCP integration pathway.
View the Standard on GitHub
1. Read the standard.
2. Test it against your AI workflow.
3. Run the benchmark cases.
4. Integrate the MCP pathway or equivalent tool access.
5. Share results, critiques or adoption evidence publicly.
Independent initiative. Not an official project of the Holy See.