Guideline for Trustworthy Artificial Intelligence - AI Assessment Catalog. - Maximilian Poretschkin; Anna Schmitz 001; Maram Akila; Linara Adilova; Daniel Becker 010; Armin B. Cremers; Dirk Hecker; Sebastian Houben; Michael Mock; Julia Rosenzweig; Joachim Sicking; Elena Schulz; et al. (CoRR, 2023)

Building a Generative AI Showroom for Foundation Models with Different Modalities. - Benny Jörg Stein; Niklas Beck; Daniel Becker 010; Dennis Wegener (MIPR, 2024)

Towards Trustworthy AI Engineering - A Case Study on integrating an AI audit catalog into MLOps processes. - Lennard Helmer; Claudio Martens; Dennis Wegener; Maram Akila; Daniel Becker 010; Sermad Abbas (RAIE@ICSE, 2024)

PARMA: a Platform Architecture to enable Automated, Reproducible, and Multi-party Assessments of AI Trustworthiness. - Maximilian Pintz; Daniel Becker 010; Michael Mock (RAIE@ICSE, 2024)

Navigating the Landscape of AI Test Methods Using Taxonomy-Based Selection. - Maximilian Pintz; Anna Schmitz 001; Rebekka Görge; Sebastian Schmidt; Daniel Becker 010; Maram Akila; Michael Mock (RAIE, 2025)

A Modular AI Testing Framework for Trustworthy AI: Proof-of-Concept Implementation. - Maximilian Pintz; Daniel Becker 010; Michael Mock (SAFECOMP (Workshops), 2025)