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