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Data-Centric Artificial Intelligence

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dc.contributor.authorJakubik, Johannes
dc.contributor.authorVössing, Michael
dc.contributor.authorKühl, Niklas
dc.contributor.authorWalk, Jannis
dc.contributor.authorSatzger, Gerhard
dc.date2024-08-01
dc.date.accessioned2024-10-30T15:28:10Z
dc.date.available2024-10-30T15:28:10Z
dc.date.issued2024
dc.description.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.de
dc.identifier.doi10.1007/s12599-024-00857-8
dc.identifier.issn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-024-00857-8
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45343
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 66, No. 4
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectData quality
dc.subjectData work
dc.subjectData-centric artificial intelligence
dc.titleData-Centric Artificial Intelligencede
dc.typeText/Journal Article
mci.reference.pages507-515

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BISE 66(4) - August 2024