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GUIDE 03 · 12 PAGES
Privacy Across AI Models & Use Cases
The privacy questions every AI deployment raises
AI governance stops being abstract the moment you ask privacy questions of a specific deployment. Five use-case profiles, the questions that change by model type, when a deployment triggers an assessment, and a pre-deployment screen.
WHAT’S INSIDE
- Why AI governance only becomes concrete when you ask privacy questions
- Five use-case privacy profiles, walked through end to end
- The questions that differ by model type
- Human-in-the-loop as an accountability design, not a slogan
- When an AI deployment triggers an assessment — and when it triggers two
- The audit trail: who, when, what, model version
WRITTEN FOR
Healthtech teams adopting AI scribes, public bodies building AI registers, and mid-market organizations putting an AI tool into a real workflow
WHAT IT HELPS YOU DO- Decide whether a specific AI deployment triggers a privacy assessment — and when it triggers two
- Ask the right privacy questions of the AI use case actually in front of you
- Tell a meaningful human review from a rubber stamp, and design for the first one
- Build an audit trail that survives a question asked a year later
- Run a pre-deployment screen before procurement closes rather than after go-live
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