Intersection Distance Field Collision for GPU. - Bastian Krayer; Rebekka Görge; Stefan Müller 002 (PG (Short Papers, Posters, and Work-in-Progress Papers), 2022)

LLMs and Memorization: On Quality and Specificity of Copyright Compliance. - Felix B. Mueller; Rebekka Görge; Anna K. Bernzen; Janna C. Pirk; Maximilian Poretschkin (AIES (1), 2024)

Inspecting and Measuring Fairness of unlabeled Image Datasets. - Rebekka Görge; Michael Mock; Maram Akila (ICDEW, 2024)

Developing trustworthy AI applications with foundation models. - Michael Mock; Sebastian Schmidt; Felix Müller; Rebekka Görge; Anna Schmitz 001; Elena Haedecke; Angelika Voss; Dirk Hecker; Maximilian Poretschkin (CoRR, 2024)

LLMs and Memorization: On Quality and Specificity of Copyright Compliance. - Felix Müller; Rebekka Görge; Anna K. Bernzen; Janna C. Pirk; Maximilian Poretschkin (CoRR, 2024)

Do Multilingual Large Language Models Mitigate Stereotype Bias? - Shangrui Nie; Michael Fromm 001; Charles Welch; Rebekka Görge; Akbar Karimi 001; Joan Plepi; Nazia Afsan Mowmita; Nicolas Flores-Herr; Mehdi Ali; Lucie Flek (CoRR, 2024)

Using ScrutinAI for visual inspection of DNN performance in a medical use case. - Rebekka Görge; Elena Haedecke; Michael Mock (AI Ethics, 2024)

Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models. - Rebekka Görge; Michael Mock; Héctor Allende-Cid (FAccT, 2025)

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 global scale comparison of risk aggregation in AI assessment frameworks. - Anna Schmitz 001; Michael Mock; Rebekka Görge; Armin B. Cremers; Maximilian Poretschkin (AI Ethics, 2025)