Hybrid Decision Making: When Interpretable Models Collaborate With Black-Box Models

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Learning Certifiably Optimal Rule Lists (2017, methodology): “ful and interpretable rules for continuous data that can be used within CORELS. An interesting direction for future research would be to create a hybrid interpretable/ black box model in the style of Wang (2018), where the rule list would eliminate large parts of the space away from the decision bou”
Why Interpretability in Machine Learning? An Answer Using Distributed Detection and Data Fusion Theory (2018, background): “This work should be differentiated from recent contributions that discuss hybrids of interpretable and black box models (Wang, 2018), because here, we are concerned with the hybrid of humans and models.”
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies (2020, methodology): “For example, Wang [57] uses a black box (i.”