Towards a Governance Framework for Brain Data

被引：0

作者：

Marcello Ienca

Joseph J. Fins

Ralf J. Jox

Fabrice Jotterand

Silja Voeneky

Roberto Andorno

Tonio Ball

Claude Castelluccia

Ricardo Chavarriaga

Hervé Chneiweiss

Agata Ferretti

Orsolya Friedrich

Samia Hurst

Grischa Merkel

Fruzsina Molnár-Gábor

Jean-Marc Rickli

James Scheibner

Effy Vayena

Rafael Yuste

Philipp Kellmeyer

机构：

[1] EPFL,College of Humanities

[2] ETH Zurich,Department of Health Sciences and Technologies

[3] New York Presbyterian Hospital and Weill Cornell Medical College,Institute of Humanities in Medicine

[4] Lausanne University Hospital,Institute of Biomedical Ethics

[5] Medical College of Wisconsin,Department of International Law and Ethics of Law, Law Faculty

[6] University of Basel,Faculty of Law and Institute for Biomedical Ethics

[7] University of Freiburg,Neuromedical AI Lab, Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine

[8] University of Zurich,Privatics Group

[9] University of Freiburg,ZHAW School of Engineering

[10] INRIA,Centre de Recherche Neuroscience Paris Seine

[11] IEEE Standards Association; Confederation of Laboratories for AI Research in Europe (CLAIRE),Institute for Philosophy

[12] CNRS; UNESCO Chair of Bioethics,Institute for Ethics, History, and the Humanities

[13] FernUniversität in Hagen,Department of Police Sciences

[14] University of Geneva,College of Business, Government and Law

[15] University of Applied Sciences for Administration and Services Kiel-Altenholz,The NeuroTechnology Center

[16] Heidelberg Academy of Sciences and Humanities,Human

[17] Geneva Center for Security Policy,Technology Interaction Lab, Department of Neurosurgery, Medical Center – University of Freiburg, Faculty of Medicine

[18] Flinders University,undefined

[19] Columbia University,undefined

[20] University of Freiburg,undefined

来源：

Neuroethics | 2022年 / 15卷

关键词：

Brain data; Data governance; Neurodata; Neurotechnology; Regulation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for ethics and governance. We identify distinctive ethical implications of brain data acquisition and processing, and outline a multi-level governance framework. This framework is aimed at maximizing the benefits of facilitated brain data collection and further processing for science and medicine whilst minimizing risks and preventing harmful use. The framework consists of four primary areas of regulatory intervention: binding regulation, ethics and soft law, responsible innovation, and human rights.

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