The Ethics of AI Lab spearheads research, brings experts together and provides knowledge with focus on ethical, societal and legal issues related to AI’s use in biobanking and biomedical research.

Artificial Intelligence (AI) is one of the most significant and exciting developments of the present. It is also seen as a promising innovation in the medical field. The application of medical AI opens complex questions concerning, for instance, informed consent, biases, trustworthiness, responsibility, and liability, as well as risks associated with data privacy and protection.

Ethics of AI considers the ethical and societal implications of AI use and the potentially far-reaching consequences of AI in society, particularly in the field of medicine. The mission of the Ethics of AI Lab at BBMRI is to provide reliable, feasible and practical knowledge on ethical and social/societal matters of AI related to biobanking and biomedical research for the immediate benefit of the community. In bringing together experts, building on state-of-the-art research and learning from best practices, the Lab produces in-depth research and develops practical guidance.

The Ethics of AI Lab uses reliable research to develop practical knowledge:

Ethics of AI in Medical Imaging

Check out this video featuring our senior scientist Melanie Goisauf  as she discusses the EuCanImage project. EuCanImage is a 4-year research project building a European cancer imaging platform that will enhance the potential of Artificial Intelligence in oncology:

Projects

We are involved in an number of projects on the topic of AI:

INTERVENE

INTERVENE seeks to advance AI-facilitated analyses of complex medical data to develop genetic risk scores, which summarize the estimated effect of an individual’s genetic makeup on the risk of developing a particular disease.

EuCanImage

EuCanImage will build a highly secure, federated and large-scale cancer imaging platform, with capabilities that will greatly enhance the potential of Artificial Intelligence in oncology. Watch the ELSI contribution in the video above.

BIGPICTURE

The project aims to create a repository of digital copies of around 3 million slides covering a range of disease areas. This repository will then be used to develop artificial intelligence tools that could aid in the analysis of slides.

Learn more about AI

The ELSI Knowledge Base  is our open-access resource platform containing information on ELSI-related matters. If you wish you learn more about AI and ELSI, click here.

Acknowledgements

The work done here was co-funded by EuCanImage, INTERVENE, and BIG PICTURE, projects that have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 952103, No 101016775, and form the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 945358. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA.