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Towards a Governance Framework for Brain Data
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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“Furthermore, the expanding availability of brain data both within and outside the biomedical domain, together with the growing use of artificial intelligence for analysis, introduces important ethical and governance considerations.37”
From Environmental roots of neonatal health: how social and structural exposures shape early-life outcomes (2026) · cites this paper as [37]
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“For this reason, frameworks such as the capabilities approach [51] can be very helpful to translate the general requirements of human rights into actionable and shared international policy goals that promote human flourishing, human dignity and well-being in the context of brain data processing.”
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Cited by
Neurorights, mental privacy, and mind reading
Brown, C. M. L. (2024) · Neuroethics · doi:10.1007/s12152-024-09568-z · Cited by 33
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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
- Published
- 2022-06-03
- Volume
- 15
- Issue
- 2
- ISSN
- 1874-5490
- 1874-5504
- Cited by
- 101
- References
- 8
- Language
- en
- Funders
- Universitätsklinikum Freiburg
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- 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. (2022). Towards a Governance Framework for Brain Data. Neuroethics. https://doi.org/10.1007/s12152-022-09498-8
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