References
For additional information about the topics covered in this chapter, please refer to the following resources:
- Pitfalls of Explainable ML: An Industry Perspective: https://arxiv.org/abs/2106.07758
- The Quantus framework in GitHub: https://github.com/understandable-machine-intelligence-lab/Quantus
- Explanation in Artificial Intelligence: Insights from the Social Sciences: https://arxiv.org/pdf/1706.07269.pdf
- Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations: https://arxiv.org/abs/2202.06861
- Understanding Machines: Explainable AI from Accenture Labs: https://www.accenture.com/_acnmedia/pdf-85/accenture-understanding-machines-explainable-ai.pdf
- Actionable Recourse in Linear Classification by Ustun et al: https://arxiv.org/abs/1809.06514
- Actionable recourse in ML: https://github.com/ustunb/actionable-recourse
- Questioning the AI: Informing Design Practices for Explainable AI User Experiences by Liao...