  The role of data in building AI systems has recently been significantly
magnified by the emerging concept of data-centric AI (DCAI), which advocates a
fundamental shift from model advancements to ensuring data quality and
reliability. Although our community has continuously invested efforts into
enhancing data in different aspects, they are often isolated initiatives on
specific tasks. To facilitate the collective initiative in our community and
push forward DCAI, we draw a big picture and bring together three general
missions: training data development, inference data development, and data
maintenance. We provide a top-level discussion on representative DCAI tasks and
share perspectives. Finally, we list open challenges. More resources are
summarized at https://github.com/daochenzha/data-centric-AI
