论文标题
积极的知情同意，以促进机器学习在医学中的应用
Active Informed Consent to Boost the Application of Machine Learning in Medicine
论文作者
论文摘要
机器学习可能会将精确医学的研究推向前所未有的高度。为了成功，机器学习需要大量数据，通常包括个人数据。因此，适用于精密药物的机器学习处于悬崖边缘：如果它不学会飞行，它将深深地掉落。在本文中，我们介绍了积极的知情同意书（AIC），作为一种新型的混合法律技术工具，以促进收集大量的机器学习数据。我们仔细分析了这种技术工具的遵守情况，以保护欧洲公民隐私的法律复杂性。
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.
