Uncertainty Quantification
Methods and techniques for measuring and communicating the confidence or uncertainty in an AI model's predictions, essential for reliable decision-making.
In plain language
The AI telling you how sure (or unsure) it is about its answer. Instead of just saying the answer is X, it says the answer is probably X, but I am only 70% sure.
Why this matters
From a governance perspective, AI systems should communicate uncertainty to human decision makers. Your framework should require that high-risk AI applications provide confidence levels alongside their outputs, enabling appropriate human oversight and reducing decision errors.
Relevance
GovernanceEstablishes confidence communication as a governance requirement, supporting human-in-the-loop decision-making and appropriate risk management in high-stakes applications.
Related terms
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