Interview feedback from AI carries a confidence score that reflects how reliably the system could assess a particular aspect of your performance; a high-confidence observation about your technical clarity is more trustworthy than a low-confidence judgment about your strategic fit. This distinction prevents you from over-correcting on feedback that may simply reflect the system's limitations rather than real weaknesses.
Confidence scoring is a metric AI systems use to rate how certain they are about the quality, tone, or effectiveness of a generated response, often expressed as a probability value attached to each suggestion or edit.
In reentry interview preparation, understanding confidence scores helps you prioritize which AI-suggested answers to practice most, so you spend your time refining the responses that AI itself flags as borderline rather than polishing ones it already rates as strong.
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