TY - INPR A1 - Geerkens, Simon A1 - Sieberichs, Christian A1 - Braun, Alexander A1 - Waschulzik, Thomas T1 - QI2 -- an Interactive Tool for Data Quality Assurance N2 - 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. KW - Data Structures and Algorithms KW - Machine Learning KW - Computers and Society KW - Artificial Intelligence Y1 - 2023 UR - https://opus4.kobv.de/opus4-hs-duesseldorf/frontdoor/index/index/docId/4154 CY - arXiv ER -