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Confident AI

In this paper, we propose "Confident AI" as a means to designing Artificial Intelligence (AI) and Machine Learning (ML) systems with both algorithm and user confidence in model predictions and reported results. The 4 basic tenets of Confident AI are Repeatability, Believability, Sufficiency, and Adaptability. Each of the tenets is used to explore fundamental issues in current AI/ML systems and together provide an overall approach to Confident AI.

3 nodes2 linksoverview previewConfident AI
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Confident AI3 visible / 3 total nodes / 2 links
AuthorshipTopic signalWConfident AIpreprint / 2022AJim DavisResearcherTArtificial Intelligence22915 works
PaperSignal 102 links

Confident AI

preprint / 2022

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