Trustworthy AI in medicine
Project ‘TrustifAI’
The TrustifAI project aims to contribute a set of concrete solutions to improve trustworthiness of AI applications in health and wellbeing at various stages of development lifecycle. A quality platform for development of trustworthy AI applications will enable users to create efficient and effective data science analytics pipelines through a human-in-the-loop approach with the goal of increasing trustworthiness.
Sebastian Vollmer
Professor for Applications of Machine Learning
My research interests lie at the interface of applied probability, statistical inference and machine learning.