Abstract
We argue that artificial intelligence (AI) systems should be designed with features that build trust by bringing decision-analytic perspectives into AI. Actionable and interpretable AI will incorporate explicit quantifications and visualizations of user confidence in AI recommendations.
| Original language | English |
|---|---|
| Pages | 91-96 |
| Number of pages | 6 |
| Volume | 53 |
| No | 9 |
| Specialist publication | Computer |
| DOIs | |
| State | Published - Sep 2020 |
ASJC Scopus Subject Areas
- General Computer Science
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