Sebastian Herrmann

Sebastian Herrmann is a researcher in clinical natural language processing (NLP) and machine learning ethics. His 2022 ACL Anthology publication with Betty Van Aken and Alexander Löser introduces a framework for behavioral testing of clinical NLP models, focusing on biases related to patient characteristics like gender, age, and ethnicity.

Research Focus

• Clinical NLP model evaluation
• Systemic bias detection in healthcare AI
• Model interpretability and ethical deployment

The work highlights how clinical NLP models exhibit variable behavior despite similar performance metrics, emphasizing the need for transparent communication about model decisions in medical settings. His research intersects technical rigor with critical analysis of algorithmic fairness in healthcare contexts.