Data-Centric Artificial Intelligence
Jakubik, Johannes, Vössing, Michael, Kühl, Niklas, Walk, Jannis, Satzger, Gerhard
–arXiv.org 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.
arXiv.org Artificial Intelligence
Jan-18-2024
- Country:
- Asia
- India (0.04)
- Middle East > Jordan (0.04)
- Europe > Germany
- Baden-Württemberg > Karlsruhe Region
- Karlsruhe (0.04)
- Bavaria > Upper Franconia
- Bayreuth (0.04)
- Baden-Württemberg > Karlsruhe Region
- North America > United States
- Hawaii (0.04)
- Asia
- Genre:
- Research Report (0.82)
- Industry:
- Information Technology > Services (0.46)
- Technology: