  Data-centric artificial intelligence (data-centric AI) represents an emerging
paradigm emphasizing that the systematic design and engineering of data is
essential for building effective and efficient AI-based systems. The objective
of this article is to introduce practitioners and researchers from the field of
Information Systems (IS) to data-centric AI. We define relevant terms, provide
key characteristics to contrast the data-centric paradigm to the model-centric
one, and introduce a framework for data-centric AI. We distinguish data-centric
AI from related concepts and discuss its longer-term implications for the IS
community.
