Welcome, Jordan Lee
Dominion Museum of History & Culture · public-trust museum calibration
75% Road Test required
Using AI Well in Museums
Use AI to reduce routine effort while retaining museum expertise, evidence standards and responsibility.
Completed · 20%Safe Use, Information Protection and Rights
Recognize when collection, donor, employee, cultural or security information must not be placed into an AI system.
Completed · 100%Critical Thinking: Verify Before You Rely
Challenge plausible AI output and verify museum claims against reliable evidence.
Estimated 8 minHuman Review and Decision Authority
Know who needs to be involved and where qualified judgment or formal authorization must enter an AI-assisted workflow.
Estimated 7 minProvenance, Authenticity and Synthetic Content
Protect the evidentiary chain and prevent synthetic material from being mistaken for historical evidence.
Estimated 8 minContested History and Cultural Authority
Use AI without allowing it to erase contested interpretations, Indigenous perspectives or institutional responsibility.
Estimated 8 minIdentification, Attribution and Valuation
Treat AI-generated identification, classification, attribution and valuation as research leads rather than authoritative determinations.
Estimated 7 minPublic Communication, Education and Accessibility
Use AI to improve museum communication without lowering standards of accuracy, rights, context or disclosure.
Estimated 6 minGovernance, Incidents and Assurance
Apply usable rules, preserve evidence and learn from AI errors and near misses.
Estimated 6 minPractical Museum Exercise and Road Test Preparation
Demonstrate integrated judgment by using AI, verifying its work and identifying the correct human authority.
Estimated 6 min