Explainable AI: A Review of Machine Learning Interpretability Methods

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Authors: Finale Doshi-Velez, Been Kim
Year: 2021
Journal: Entropy
DOI: 10.3390/e19110668
Publisher: https://www.mdpi.com/1099-4300/19/11/668

Keywords: xai, survey

Abstract

We review machine learning interpretability methods.

Cite this paper

bibtex

@misc{xaisurvey2021,
  title  = {Explainable AI: A Review of Machine Learning Interpretability Methods},
  author = {Finale Doshi-Velez, Been Kim},
  year   = {2021},
  journal = {Entropy},
  doi    = {10.3390/e19110668},
  url    = {https://doi.org/10.3390/e19110668},
}

Source files

[metadata.json](https://raw.githubusercontent.com/badhope/ScholarLib/main/papers/computer-science/Explainable-AI/Survey/2021/IEEE CIM/review/xai/xai-survey/metadata.json)
[paper.bib](https://raw.githubusercontent.com/badhope/ScholarLib/main/papers/computer-science/Explainable-AI/Survey/2021/IEEE CIM/review/xai/xai-survey/paper.bib)