Duplios
Responsible Use
How to use Duplios without misrepresenting evidence.
Human oversight
Humans remain accountable for decisions. Duplios is decision support, not an autonomous authority.
Evidence integrity
Do not strip classifications, provenance or limitations when citing Duplios.
Avoid automation bias
High evidence scores are not proof of policy correctness. Missing data may dominate an issue.
Simulations
Treat model outputs as conditional on declared inputs and formulas. Unsupported outputs must remain unavailable.
Citation
Cite methodology version, assessment date and data classifications when publishing.
Prototype disclaimer: Duplios is an independent decision-support platform and is not an official government platform. Humans remain responsible for decisions.