One-sentence brief
Even a technically strong model can cause harm when ownership is unclear, appeals are absent, updates are silent, or institutions treat outputs as unquestionable authority.
INTERNATIONAL SIMULATION LITERACY
A rights-aware lifecycle for consequential models: ownership, purpose, source review, validation, publication, monitoring, challenge, correction, withdrawal, and archival history.
ORIENTATION
Even a technically strong model can cause harm when ownership is unclear, appeals are absent, updates are silent, or institutions treat outputs as unquestionable authority.
WORKING BRIEF
Name who maintains the model, who may publish it, who may rely on it, and who can suspend it.
Separate technical validation from scientific, legal, privacy, accessibility, regional, rights, security, and lived-experience review.
People affected by a consequential output should receive a comprehensible explanation of source, model role, uncertainty, and challenge path.
A corrected source or model error should update dependent maps, narratives, scores, decisions, and public statements.
Data, institutions, behavior, climate, infrastructure, and law change. Monitor calibration, coverage, distributional harm, and unexpected use.
A misleading or unsafe model may need to be suspended or withdrawn. Preserve the historical record and explain what remains valid.
COMPLETE DOSSIER
Terms are defined for this site’s evidence method, not as universal legal or clinical definitions.
RESEARCH EDITION
This page follows the public method for provenance, confidence, source independence, alternative accounts, limitations, review state, and visible correction.
CONTINUE