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

Author(s)

Katarzyna Barud, Marie-Catherine Wagner, Nikolaus Forgó

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.

Organisation(s)

Department of Innovation and Digitalisation in Law, Research Platform Governance of digital practices

No. of pages

11

DOI

https://doi.org/10.48550/arXiv.2210.08987

Publication date

09-2022

Austrian Fields of Science 2012

102001 Artificial intelligence, 102019 Machine learning, 505002 Data protection

Portal url

https://ucris.univie.ac.at/portal/en/publications/active-informed-consent-to-boost-the-application-of-machine-learning-in-medicine(848c2875-efa9-43c2-9f08-830a85d1da5e).html