This project addresses fundamental ethical and legal challenges that AI technologies bring to learning and teaching in higher education. It will provide knowledge about how to conceptually and empirically approach these challenges, but most importantly: How to deal with ethical issues in practice.
With better descriptions of a patient’s state and history, more efficient recommendations can be provided. We explore how AI tools can be put to practical use in healthcare. We focus on complex and multimodal data and use cases such as COVID-19 public health interventions or patient phenotyping for adverse drug events, sepsis, or cancer.
Many existing digital applications leverage machine learning algorithms to improve their solutions. This project explores how these algorithms can also help understand user behaviour in virtual reality environments to design more effective systems.
