Data-Centric Artificial Intelligence
Artificial Intelligence
2024-01-19 v4
Abstract
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.
Cite
@article{arxiv.2212.11854,
title = {Data-Centric Artificial Intelligence},
author = {Johannes Jakubik and Michael Vössing and Niklas Kühl and Jannis Walk and Gerhard Satzger},
journal= {arXiv preprint arXiv:2212.11854},
year = {2024}
}
Comments
Accepted for publication at Business & Information Systems Engineering