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

Autor:	Gerardi, Marco, Barud, Katarzyna, Wagner, Marie-Catherine, Forgo, Nikolaus, Fallucchi, Francesca, Scarpato, Noemi, Guadagni, Fiorella, Zanzotto, Fabio Massimo
Rok vydání:	2022
Předmět:	Computer Science - Computers and Society Computer Science - Artificial Intelligence Computer Science - Machine Learning J.3
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2210.08987 Zobrazit plný text záznamu View this record from Arxiv