论文标题
以数据为中心的人工智能
Data-Centric Artificial Intelligence
论文作者
论文摘要
以数据为中心的人工智能（以数据为中心的AI）代表了一种新兴的范式，强调数据的系统设计和工程对于构建有效，有效的基于AI的系统至关重要。本文的目的是介绍从信息系统（IS）到以数据为中心AI的从业者和研究人员。我们定义相关术语，提供关键特征，以将以数据为中心的范式与以模型为中心的范式进行对比，并引入以数据为中心的AI的框架。我们将以数据为中心的AI与相关概念区分开来，并讨论其对IS社区的长期影响。
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.
