Towards a Governance Framework for Brain Data

ID: 20231012155329074-1359

Researcher: 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

WP: Other

PI: Samia Hurst

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.

Publication DOI: https://doi.org/10.1007/s12152-022-09498-8

Publication Link: https://doi.org/10.1007/s12152-022-09498-8

Data Type: null

Data Format: null

Git: None