Active Informed Consent to Boost the Application of Machine Learning in Medicine
Marco Gerardi
Katarzyna Barud
Marie-Catherine Wagner
N. Forgó
Francesca Fallucchi
Noemi Scarpato
F. Guadagni
Fabio Massimo Zanzotto

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.
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