Intelligent Systems Research Group
In Q-AMeLiA three Universities of Applied Sciences are developing suitable instruments for evaluating data quality. The focus here is on the representative coverage of the feature space and the evaluation of the quality of the AI model learned in the learning process. This safeguards the product risk of the manufacturer of AI-based products and guarantees the customer a quantified performance of the products with regard to the decisions of the AI.
The aim of the association thereby is to support the consortium consisting of five SMEs on the implementation of the special machine learning software development lifecycle (ML-SDLC) and the incorporation of important quality indicators.
The project is funded by the Ministry of Science, Research and Arts of Baden-Württemberg (MWK).