A criterion-based approach to GDPR’s explanation requirements for automated individual decision-making Kumkar Lea Katharina Roth-Isigkeit David Automation of decision-making processes represents an essential element of the digital transformation. However, automated data processing based on machine learning methods poses increased threats to the fundamental rights of data subjects. One main reason for this is the fact that tracing and explaining the solution path responsible for a certain machine output requires high technical effort. The new European data protection law provides a framework for explanation requirements that apply to users of the new – automated – technologies. This article outlines the current state of discussion on explanation requirements for automated decisions and advocates a restrictive interpretation of the corresponding provisions in the GDPR. GDPR artificial intelligence automated individual decision-making right to explanation 340 periodical academic journal JIPITEC 12 4 2021 289 300 2190-3387 urn:nbn:de:0009-29-54034 http://nbn-resolving.de/urn:nbn:de:0009-29-54034 kumkar2021