System and method for estimating confidence and implementing metacognitive abilities in artificial intelligence systems

This invention describes a system that helps artificial intelligence, particularly language models, understand how confident they are in their own answers. It does this by calculating several different confidence scores for an output, combining them, and then using that overall confidence to adjust the AI's internal processes. This allows the AI to improve its reliability by learning from its own self-assessment.

Why it matters: The continued rapid development and deployment of large language models since 2025 has made the need for reliable self-assessment and confidence estimation more urgent for practical applications.

Status: Under examinationA pending application. It has not been granted, and it has not been abandoned.
How hard to build: SpecializedSoftware logic, AI/ML expertise, language model integration

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