Classify nonprofit AI outputs by consequence so human review is matched to risk.
The move: route AI outputs by consequence. AI can reduce staff load, but nonprofit work often sits close to people's lives. That closeness changes the risk math. A confident but wrong answer can create more harm than a slower human process. Map the possible harm For each output, name the practical consequence of a wrong or biased response. Would it waste staff time, embarrass the organization, misstate a program, deny access, expose sensitive data, or put someone in danger? Match the control Low-risk content can use normal editing. Medium-risk content needs staff review before it leaves the organization. High-risk content…
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