Data Markets for Blockchain-based Federated Learning in Health Care

Artificial intelligence (AI) is a promising technology for patient-centric health care, for example, to diagnose diseases, or to recommend therapies. However, deploying AI in health care is challenging. The creation of AI systems typically requires large amounts of data, but health data is kept private due to high privacy requirements. Furthermore, AI in health care should not only benefit majorities in society but also benefit underrepresented groups. Toward this end, this research project aims to combine federated learning with blockchain to develop responsible AI for health care. Federated learning enables the creation of AI systems without disclosing private data. A blockchain infrastructure enables a transparent and fair information system. Furthermore, a blockchain enables a data marketplace through a token economy, where individuals are financially incentivized for sharing unique data for the creation of AI systems. The goal of the project is to demonstrate a practical implementation for responsible AI in health care, and its benefits. Ultimately, it can transform the Canadian health care system.

Faculty Supervisor:

Ivan Beschastnikh

Student:

Partner:

Karlsruher Institut für Technologie

Discipline:

Computer science

Sector:

Education

University:

The University of British Columbia

Program: