Understanding the behavior of the model with Explainable AI
Explainable AI is a very active area of research. In business settings, understanding AI models can easily lead to a distinctive competitive advantage. The so-called black-box models (complex algorithmic models), even though they bring exceptional results, are commonly criticized due to their hidden logic. It is hard for higher-level management to fully design the core business based on AI, as interpreting the model and predictions is not an easy task. How can you convince your business partners that an AI model will always deliver the expected results? How can you ensure that the model will still work on new data? How does the model generate the results? Explainable AI helps us address these questions.
Before we go any further, let’s look at two important concepts: interpretability and explainability. At first, they might sound similar. Interpretability tells us why a specific input produces the specific model&...