The purpose of , is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining and machine learning.

Also, this year the workshop will seek submissions addressing uncovered important issues in specific fields related to eXplainable AI (XAI), such as privacy and fairness, application in real case studies, benchmarking, explanation of decision systems based on time series and graphs which are becoming more and more important in nowadays applications.

The workshop will seek top-quality submissions related to ethical, fair, explainable and transparent data mining and machine learning approaches. Papers should present research results in any of the topics of interest for the workshop, as well as tools and promising preliminary ideas.

XKDD asks for contributions from researchers, academia and industries, working on topics addressing these challenges primarily from a technical point of view but also from a legal, ethical or sociological perspective.