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QI²: an interactive tool for data quality assurance

  • 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.

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Metadaten
Author:Simon GeerkensORCiD, Christian SieberichsORCiD, Alexander BraunORCiD, Thomas Waschulzik
open access (DINI-Set):open_access
Qualitätssicherung:peer reviewed
open access :Hybrid - Subskriptionszeitschrift
agreement:DEAL Springer
Fachbereich/Einrichtung:Hochschule Düsseldorf / Fachbereich - Elektro- & Informationstechnik
Document Type:Article
Year of Completion:2024
Language of Publication:English
Publisher:Springer Nature
Parent Title (English):AI and Ethics
DOI:https://doi.org/10.1007/s43681-023-00390-6
ISSN:2730-5961
Tag:DEAL; DFG Publikationskosten; HSD Publikationsfonds
Data integrity; Data quality; Machine learning; Performance metrics; Quality assurance
Funding institution:DFG / zentraler HSD-Publikationsfonds
Corresponding Author:Simon Geerkens
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
Release Date:2024/01/15
Note:
Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 532148125 and supported by the central publication fund of Hochschule Düsseldorf University of Applied Sciences

Data availability declaration:
The data that support the findings of this scientific publication are available from the corresponding author upon reasonable request.
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