Data-Centric Artificial Intelligence-Reference-Cited by-同舟云学术

Data-Centric Artificial Intelligence

Published:2024-03-05 Issue:4 Volume:66 Page:507-515
ISSN:2363-7005
Container-title:Business & Information Systems Engineering
language:en
Short-container-title:Bus Inf Syst Eng

Author:

Jakubik Johannes,Vössing Michael,Kühl Niklas,Walk Jannis,Satzger Gerhard

Abstract

AbstractData-centric artificial intelligence (data-centric AI) represents an emerging paradigm that emphasizes the importance of enhancing data systematically and at scale to build effective and efficient AI-based systems. The novel paradigm complements recent model-centric AI, which focuses on improving the performance of AI-based systems based on changes in the model using a fixed set of data. The objective of this article is to introduce practitioners and researchers from the field of Business and Information Systems Engineering (BISE) to data-centric AI. The paper defines relevant terms, provides key characteristics to contrast the paradigm of data-centric AI with the model-centric one, and introduces a framework to illustrate the different dimensions of data-centric AI. In addition, an overview of available tools for data-centric AI is presented and this novel paradigm is differenciated from related concepts. Finally, the paper discusses the longer-term implications of data-centric AI for the BISE community.

Funder

Karlsruher Institut für Technologie (KIT)

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12599-024-00857-8.pdf

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