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title={``{Why} should {I} trust you?''
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@article{sokol2021explainability,
title={Explainability is in the mind of the beholder: {Establishing} the foundations of explainable artificial intelligence},
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title={{FACE}: {Feasible} and actionable counterfactual explanations},
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title={Explainable {AI}: {Beware} of inmates running the asylum or:
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title={One explanation does not fit all:
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journal={5\textsuperscript{th} Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT/ML 2018) at the 35\textsuperscript{th} International Conference on Machine Learning (ICML 2018), Stockholm, Sweden},
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keywords={Artificial intelligence;Safety;Security;Industries;Standards;Software;Testing},
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ISSN={0018-8646},
month={July}
}
@inproceedings{yang2018nutritional,
title={A nutritional label for rankings},
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pages={1773--1776},
year={2018},
organization={ACM}
}
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title={Model cards for model reporting},
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pages={220--229},
year={2019},
organization={ACM}
}
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title={{bLIMEy}: {Surrogate} Prediction Explanations Beyond {LIME}},
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and Flach, Peter},
journal={2019 Workshop on Human-Centric Machine Learning (HCML 2019) at the
33\textsuperscript{rd} Conference on Neural Information Processing
Systems (NeurIPS 2019), Vancouver, Canada},
note={arXiv preprint arXiv:1910.13016},
year={2019}
}
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title={Contrastive explanations with local foil trees},
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journal={Workshop on Human Interpretability in Machine Learning (WHI 2018) at
the 35\textsuperscript{th} International Conference on
Machine Learning (ICML 2018), Stockholm, Sweden},
note={arXiv preprint arXiv:1806.07470},
year={2018}
}
@inproceedings{ribeiro2016why,
title={``{Why} Should {I} Trust You?'': {Explaining} the Predictions of Any
Classifier},
author={Marco Tulio Ribeiro and Sameer Singh and Carlos Guestrin},
booktitle={Proceedings of the 22\textsuperscript{nd} ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, San Francisco,
CA, USA, August 13--17, 2016},
pages={1135--1144},
year={2016}
}
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}