In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems

2 Apr 2020Michael L. IuzzolinoTetsumichi UmadaNisar R. AhmedDanielle A. Szafir

We investigate how different active learning (AL) query policies coupled with classification uncertainty visualizations affect analyst trust in automated classification systems. A current standard policy for AL is to query the oracle (e.g., the analyst) to refine labels for datapoints where the classifier has the highest uncertainty... (read more)

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