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.
| Original language | English |
|---|---|
| Article number | 20 |
| Number of pages | 14 |
| Journal | Neuroethics |
| Volume | 15 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jul 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Brain data
- Data governance
- Neurodata
- Neurotechnology
- Regulation
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