RSNA organizes data challenges to spur the creation of artificial intelligence (AI) tools for radiology. Data challenges engage the radiology community to develop datasets useful for training AI systems to perform clinically relevant tasks. Researchers then compete to create applications that perform defined tasks according to specified performance measures. The goal of each challenge is to explore and demonstrate the ways AI can benefit radiology and improve patient care. These AI data challenges are organized by the RSNA Radiology Informatics Committee.