Risk & safety
Frameworks in the Risk & safety topic.
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Where Does It Run?
Every AI system has a venue, and the venue determines where your data goes, what breaks, what it costs, and what it can do.
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The Expert's Advantage
Who checks decides how fast AI can safely go.
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Risk Zones
A traffic-light filter for where it is safe to start with AI.
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The Verification Tax
If checking the output takes as long as doing the task, the ROI is zero.
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The Verification Dial
How hard you check AI's work should track its stakes and its track record - not sit at 100% forever.
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The Three Tiers of AI Privacy
"Cloud AI" is three different things - match each kind of data to the lowest tier of tool that still protects it.
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The Data Privacy Matrix
Which data is safe to put into which AI tool.
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The Vendor Evaluation Card
A DIY evidence pack on whether a tool is safe for your business data.
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AI Drafts, You Sign
AI produces the draft; a named human checks and owns what goes out.
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Defensive Programming
Wrap unpredictable AI in predictable checks before anything acts.
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Clean Datasets
Output quality is capped by input quality - clean the data first.
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Shadow AI
Staff already use free AI on company data. The risk is already here.
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The Deterministic-First Cascade
Run cheap predictable rules first; hand only the exceptions to the AI.
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The Permission Ladder
How much autonomy you give an AI permission to have.
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Produce vs Act
Does an unattended AI act, or only produce and hand to a person?
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The Four Seats
A four-role split that keeps AI advice separate from AI action.
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