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Cited by 101

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Towards a Governance Framework for Brain Data

Ienca, Marcello, Fins, Joseph J., Jox, Ralf J., Jotterand, Fabrice, Voeneky, Silja, Andorno, Roberto, Ball, Tonio, Castelluccia, Claude, Chavarriaga, Ricardo, Chneiweiss, Hervé, Ferretti, Agata, Friedrich, Orsolya, Hurst, Samia, Merkel, Grischa, Molnár-Gábor, Fruzsina, Rickli, Jean-Marc, Scheibner, James, Vayena, Effy, Yuste, Rafael, Kellmeyer, Philipp·2022·Neuroethics
DOI 10.1007/s12152-022-09498-8
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Abstract

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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Research works printed but not linked: 38

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Metadata

Authors
Ienca, M., Fins, J. J., Jox, R. J., Jotterand, F., Voeneky, S., Andorno, R., Ball, T., Castelluccia, C., Chavarriaga, R., Chneiweiss, H., Ferretti, A., Friedrich, O., Hurst, S., Merkel, G., Molnár-Gábor, F., Rickli, J.-M., Scheibner, J., Vayena, E., Yuste, R., & Kellmeyer, P.
Venue
Neuroethics
Publisher
Springer Science and Business Media LLC
Published
2022-06-03
Volume
15
Issue
2
ISSN
  • 1874-5490
  • 1874-5504
DOI
10.1007/s12152-022-09498-8
Cited by
101
References
8
Language
en
Licence
Funders
Universitätsklinikum Freiburg

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