Building Privacy, Trust, and Safety in AI Systems

CRAGE · 17 questions

• A county privacy office prepares 311 transcripts for GenAI fine-tuning. Which practice best fits?
• Public health wants to publish AI-assisted aggregate clinic wait-time insights. Which PET approach best fits?
• A housing authority prepares case notes for vendor model evaluation. Which privacy step best fits?
• A city library logs GenAI chat sessions with patrons. What privacy control should leadership set first for those logs?
• A city proposes facial analytics on public plaza cameras. What privacy step should precede go-live?
• Transit riders ask why AI-estimated arrival times jump. What trust mechanism should the agency publish?
• Residents distrust terse 311 bot replies. Which trust-building UX should the city add?
• A court clerk AI assists administrative case routing. What rights-oriented control should leadership require?
• A water utility prioritizes leak crews with an AI model. What fairness practice should operations monitor?
• An elections office will process volunteer contact data in an AI scheduling tool. What privacy practice is required?
• Fire/EMS hosts a public GenAI widget. What safety control should block harmful outputs?
• Property owners dispute AI-assisted valuation flags. What trust mechanism should the assessor add?
• Parks runs AI cameras for trail safety analytics. What public trust artifact should the department issue?
• A county ethics board reviews new civic AI builds. What design practice should it certify?
• A public hospital district wants periodic confidence in its clinical AI aids. What monitoring approach fits?
• After deploying a city permitting assistant, what ongoing trust practice should GRC enable?
• A utility trains customer-usage models on sensitive meter histories. What data-protection control should it adopt?