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

• URL: http://arxiv.org/abs/2210.08987v1
• Date: Tue, 27 Sep 2022 10:24:08 GMT
• Title: Active Informed Consent to Boost the Application of Machine Learning in Medicine
• Authors: Marco Gerardi, Katarzyna Barud, Marie-Catherine Wagner, Nikolaus Forgo, Francesca Fallucchi, Noemi Scarpato, Fiorella Guadagni, Fabio Massimo Zanzotto
• Abstract summary: Machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. 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.
• Score: 0.11726720776908521
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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