These are the papers published and related to explanations and decision-making with Machine in the Loop.
On Human Predictions with Explanations and Predictions of Machine Learning Models:
A Case Study on Deception Detection.
FAT* 2019
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data |
slides
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
CHI 2020
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slides
Harnessing Explanations to Bridge AI and Humans
CHI 2020 Fair & Responsible AI Workshop
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slides
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
CSCW 2021
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video