TY - UNPB
T1 - Active Informed Consent to Boost the Application of Machine Learning in Medicine
AU - Barud, Katarzyna
AU - Wagner, Marie-Catherine
AU - Forgó, Nikolaus
PY - 2022/9/27
Y1 - 2022/9/27
N2 - 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.
AB - 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.
U2 - https://doi.org/10.48550/arXiv.2210.08987
DO - https://doi.org/10.48550/arXiv.2210.08987
M3 - Preprint
BT - Active Informed Consent to Boost the Application of Machine Learning in Medicine
ER -