Before revision: Interpretable Machine Learning (IML) has become increasingly important in many  applications, such as autonomous cars and medical diagnosis, where explanations are  preferred to help people better understand how machine learning systems work and further enhance their trust towards systems.
After revision: Interpretable Machine Learning (IML) has become increasingly important in many real-world applications, such as autonomous cars and medical diagnosis, where explanations are preferred to help people better understand how machine learning systems work and further enhance their trust towards systems.