When AI recommends a benefit or resource, confidence scoring tells you whether the system is highly certain the fit is good or whether it's a reasonable guess based on incomplete information. This distinction helps you invest effort chasing high-confidence leads rather than exploring every possibility.
Confidence scoring is the probability value an AI assigns to its own output, indicating how certain it is that a given answer or recommendation is accurate based on its training data.
For single parents researching government benefits, childcare subsidies, or local assistance programs, understanding confidence scores helps you know when to trust an AI suggestion outright and when to verify it against an official source before making a decision that affects your family.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
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