The effects of example-based explanations in a machine learning interface
Proceedings of the 24th International Conference on Intelligent User Interfaces, pp. 258-262, 2019.
example-based explanations explainable AI human-AI interaction machine learning
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