Abstract

Ethics makes statements about how we should act and ethical questions can arise when machine learning is used in official statistics. More generally: When methods and technologies are used to produce official statistics. The presentation deals with the interplay of such ethical risks, legal requirements and quality aspects to address the topic "Ethics of ML". This is done by referring to papers that derive quality aspects for ML and corresponding guidelines from well-known frameworks for official statistics such as the European Quality Assurance Framework.