A starting point for science-museum directors. See the current landscape, compare the major frameworks, and generate a first-draft AI policy tailored to your institution — then take it to your leadership team to refine.
A typology of 13 distinct roles science centers can play in AI public engagement, across four groups. The most science-museum-specific framework available.
astc.org/ai →A values statement (since 2022) plus a usage statement with a concrete disclosure formula: content format + role of staff + role of AI. The most-cited precedent in the field.
si.edu/about/ai-use-statement →Argues AI policy belongs with leadership, not the IT office, and that institutions should form cross-stakeholder AI task forces to set ethics-driven frameworks.
aam-us.org →An ethics workflow of questions to ask before adopting any tool: bias in the data, model transparency, intended/unintended consequences, and impact on the visitor experience.
Reference via AAM →This is a starting draft generated offline from published-framework patterns — not legal advice. Bring it to your leadership team, legal counsel, and an AI task force before adopting. Built to be edited.