Personalized explanation in machine learning: A conceptualization

Understand

Explanation in machine learning and related fields such as artificial intelligence aims at making machine learning models and their decisions understandable to humans.

• Existing work suggests that personalizing explanations might help to improve understandability.
• In this work, we derive a conceptualization of personalized explanation by defining and structuring the problem based on prior work on machine learning explanation, personalization (in machine learning) and concepts and techniques from other domains such as privacy and knowledge elicitation.
• We perform a categorization of explainee data used in the process of personalization as well as describing means to collect this data.