1. How the machine ‘thinks’: Understanding opacity in machine learning algorithms;Burrell;Big Data Soc.,2016
2. Advances in Data Mining Knowledge Discovery and Applications;Karahoca,2012
3. A survey on bias and fairness in machine learning;Mehrabi;ACM Comput. Surv.,2021
4. A survey of methods for explaining black box models;Guidotti;ACM Comput. Surv.,2018
5. Explaining explanations: An overview of interpretability of machine learning;Gilpin,2018