QI2——一个用于数据质量保证的交互式工具
QI2 -- an Interactive Tool for Data Quality Assurance
AI总结：
本文提出交互式工具QI2，用于支持多维度数据质量保证并验证定量质量要求，通过示例数据和MNIST数据集验证其概念与效果。
摘要：
随着机器学习系统和大数据的影响与分布不断扩大，高数据质量的重要性日益增加。此外，欧盟委员会计划中的《人工智能法案》对数据质量提出了具有挑战性的法律要求，尤其是针对安全相关机器学习系统的市场准入。本文提出了一种支持多个数据质量方面数据质量保证过程的新方法。该方法能够验证定量数据质量要求。文中在小规模示例数据集上介绍并解释了这一概念及其优势，并在基于手写数字的著名MNIST数据集上演示了该方法的应用方式。
英文摘要：
The importance of high data quality is increasing with the growing impact and distribution of ML systems and big data. Also the planned AI Act from the European commission defines challenging legal requirements for data quality especially for the market introduction of safety relevant ML systems. In this paper we introduce a novel approach that supports the data quality assurance process of multiple data quality aspects. This approach enables the verification of quantitative data quality requirements. The concept and benefits are introduced and explained on small example data sets. How the method is applied is demonstrated on the well known MNIST data set based an handwritten digits.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
