Research grant – P.I. Elena Falletti
FAIR-ME-DATA builds a new ethical and legal framework for the assessment of medical datasets through a mixed method and interdisciplinary approach, building bridges between data science, law, and ethics. The project will rely on interviews, desk research, and a retrospective analysis to build a new assessment tool for dataset auditing in the context of healthcare. The FAIR-ME-DATA project is set to foster significant changes in AI-driven healthcare within the EU: it aims to ensure fairness, equity, and trust in the use of medical data, with a central focus on promoting patient well-being and inclusivity in the healthcare system. The project’s impacts are far-reaching. It promises to drive scientific advancements by shedding light on the sources of bias in healthcare data. This research aims to contribute to the development of more accurate and reliable AI systems, improving the quality of healthcare.