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
paper | data | slides

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
CHI 2020
paper | slides

Harnessing Explanations to Bridge AI and Humans
CHI 2020 Fair & Responsible AI Workshop
paper | slides

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making
CSCW 2021
paper | video