1. Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. arXiv preprint arXiv:1909.03012(2019). Vijay Arya Rachel KE Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C Hoffman Stephanie Houde Q Vera Liao Ronny Luss Aleksandra Mojsilović 2019. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. arXiv preprint arXiv:1909.03012(2019).
2. Machine Learning Interpretability;Carvalho V;A Survey on Methods and Metrics. Electronics,2019
3. Explaining models
4. Bringing Transparency Design into Practice
5. FICO. 2018. FICO Explainable Machine Learning Challenge. https://community.fico.com/s/explainable-machine-learning-challenge. Last accessed 2019-08. FICO. 2018. FICO Explainable Machine Learning Challenge. https://community.fico.com/s/explainable-machine-learning-challenge. Last accessed 2019-08.