Data-Centric Artificial Intelligence
Fuente:
arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866911759948840960 |
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| author | Jakubik, Johannes Vössing, Michael Kühl, Niklas Walk, Jannis Satzger, Gerhard |
| author_facet | Jakubik, Johannes Vössing, Michael Kühl, Niklas Walk, Jannis Satzger, Gerhard |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_11854 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Data-Centric Artificial Intelligence Jakubik, Johannes Vössing, Michael Kühl, Niklas Walk, Jannis Satzger, Gerhard Artificial Intelligence 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. |
| title | Data-Centric Artificial Intelligence |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2212.11854 |