Data-Centric Artificial Intelligence
It aims to inform Information Systems practitioners and researchers about this emerging paradigm, potentially shifting focus in AI development.
The paper introduces data-centric AI as a paradigm focusing on systematic data design and engineering for effective AI systems, providing definitions, characteristics, and a framework to contrast it with model-centric approaches.
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.