HIGHLIGHTS
SUMMARY
There is an urgent need in many industries to fulfill such regulatory requirements for AI-based Systems (e_g, Sorantin et_al 2022; Casey et_al 2019). Researchers and practitioners have proposed various software engineering approaches that offer best practices for data science projects (e_g, Amershi et_al 2019; Wang et_al 2019). Especially during model evaluation, data scientists need to reflect on the intermediate results of their work by, e_g, inspecting metrics and predictions and possibly rearranging their analytical workflow and data (e_g, Amershi et_al 2019). Human-in-the-loop concepts (e_g, Grnsund and Aanestad 2020) and especially . . .
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