Machine learning models are increasingly being used in critical areas like healthcare, justice systems, and finance. However, their predictions can be difficult to understand, making it essential to develop methods for interpreting these decisions. This is particularly important when the models' outputs need to align with ethical requirements or legal regulations. --- Why it matters: Developing techniques to explain machine learning model predictions is crucial for engineers working in AI, as it enables them to ensure that their models are transparent, accountable, and compliant with regulatory requirements. Source: https://lilianweng.github.io/posts/2017-08-01-interpretation/