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Active Informed Consent to Boost the Application of Machine Learning in Medicine

Authors :
Gerardi, Marco
Barud, Katarzyna
Wagner, Marie-Catherine
Forgo, Nikolaus
Fallucchi, Francesca
Scarpato, Noemi
Guadagni, Fiorella
Zanzotto, Fabio Massimo
Publication Year :
2022

Abstract

Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including personal data. Therefore, machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine learning. We carefully analyzed the compliance of this technological tool to the legal intricacies protecting the privacy of European Citizens.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2210.08987
Document Type :
Working Paper