期刊
ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
卷 16, 期 4, 页码 823-846出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11634-021-00455-6
关键词
Statistics; Artificial intelligence; Machine learning; Data science
资金
- Projekt DEAL
Statistics plays a significant role in both the theoretical and practical understanding of artificial intelligence (AI) and in its future development. It contributes to methodological development, planning and design of studies, assessment of data quality and data collection, differentiation of causality and associations, as well as evaluation of uncertainty in results. Integrating statistical aspects into AI teaching is crucial for schools and universities.
The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplinary scientific field, plays a substantial role both for the theoretical and practical understanding of AI and for its future development. Statistics might even be considered a core element of AI. With its specialist knowledge of data evaluation, starting with the precise formulation of the research question and passing through a study design stage on to analysis and interpretation of the results, statistics is a natural partner for other disciplines in teaching, research and practice. This paper aims at highlighting the relevance of statistical methodology in the context of AI development. In particular, we discuss contributions of statistics to the field of artificial intelligence concerning methodological development, planning and design of studies, assessment of data quality and data collection, differentiation of causality and associations and assessment of uncertainty in results. Moreover, the paper also discusses the equally necessary and meaningful extensions of curricula in schools and universities to integrate statistical aspects into AI teaching.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据