Unverified50% confidenceOpinionExact time
In academic research, interpretability is often regarded as the foundation of model trustworthiness and safety, especially in high-risk scenarios such as healthcare and finance.
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10/26/2026
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UnverifiedIn low-risk scenarios (such as content recommendation or draft generation), the model's self-assessed confidence can serve as a rough reference signal; but in high-risk decisions involving safety, healthcare, finance, etc., stricter verification processes must be introduced.75% similarUnverifiedConfidence calibration and refusal-to-answer mechanisms are the foundation for products to earn users' long-term trust in high-risk scenarios such as healthcare, law, and finance.75% similarUnverifiedThe paper points out that whether the same correlated-risk dynamic mechanism will recur in domains such as content recommendation, medical diagnosis, and autonomous driving is an open empirical question awaiting verification.72% similarUnverified在医疗诊断、法律咨询、金融决策等高风险领域，模型自信却错误的回答可能带来严重后果72% similarUnverifiedIn high-stakes scenarios, confidence scores should be validated against business logic rather than treated as an absolute quality signal.72% similar
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