Confidence Calibration Challenge

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About This MicroSim

Assess evidence quality and assign a defensible confidence level with a specific uncertainty disclosure.

How to Use

Explore the visual elements and use the controls to compare states, reveal guidance, and explain how the displayed evidence supports or limits a decision. Values shown are instructional examples unless the chapter identifies an empirical source.

Iframe Embed Code

<iframe src="https://dmccreary.github.io/ai-persona-testing/sims/confidence-calibration-challenge/main.html" height="702" width="100%" scrolling="no"></iframe>

Lesson Plan

Learning Objective

Assess evidence quality and assign a defensible confidence level with a specific uncertainty disclosure.

Activity

1. Predict what the first interaction will reveal.
2. Explore each state and cite visible evidence.
3. Apply the model to a new marketing scenario and identify its limits.

Assessment

Learners should perform the Create task in the objective and distinguish synthetic output from externally validated evidence.

References

1. Chapter source - Full instructional context and specification.
2. p5.js documentation - Rendering-library reference.