The effects of example-based explanations in a machine learning interface

Jonas Jongejan
Jonas Jongejan
Jess Holbrook
Jess Holbrook

Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 258-262, 2019.

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example-based explanations explainable AI human-AI interaction machine learning

摘要

The black-box nature of machine learning algorithms can make their predictions difficult to understand and explain to end-users. In this paper, we propose and evaluate two kinds of example-based explanations in the visual domain, normative explanations and comparative explanations (Figure 1), which automatically surface examples from the ...更多

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