Design a safe AI referral assistant
Apply AI risk management decisions to a nonprofit referral assistant workflow.
The pressure A hotline backlog makes automation attractive, but the output could affect where a person goes tonight. Speed without source and review controls can shift risk onto clients. Risk path Map -> measure -> manage Before deploying the assistant, map the context, measure what can go wrong, and manage the highest-consequence outputs. Bad shortcut Let AI recommend the fastest match from memory. The system reduces staff load without removing accountability. The more consequential the output, the more explicit the source, review, and escalation controls must be. Scope What should the assistant be allowed to do in the first pilot?…
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