Dumb it down

This pattern involves providing users with clear and understandable explanations of how their data is processed or used by an AI system. These explanations can be visual, personalized, and even counterfactual. For example, a health app may visually show how it calculates the user's risk of developing a certain condition based on their data, or a credit-scoring system may provide a personalized explanation of how it determines the user's creditworthiness based on their data.