Visualizing Uncertainty-to-Action Composition for Human Oversight
Artificial intelligence systems often disclose uncertainty, yet they rarely make clear what response that uncertainty should trigger. Most uncertainty visualizations encode uncertainty in model outputs, leaving users to discern the most appropriate course of action. A second region of the design space--uncertainty in the decision process itself, including how multiple uncertainty conditions compose into an oversight response-- remains comparatively underexplored. We address this gap with two coupled contributions. First, we introduce an uncertainty-to-action binding framework that composes multiple uncertainty conditions into a single oversight response under a precedence policy with a co...
| Authors | Chisom Anyabolu, Akshat Dubey, Georges Hattab |
|---|---|
| Primary category | cs.HC |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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