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Neuroethics at the interface of machine learning and schizophrenia
Ethical discourse around machine learning analysis of free speech for the detection of schizophrenia has largely focused on consent and personal privacy. We focus here on additional ethics concerns and principles that must be addressed to move the pendulum of risk over to benefit and propose solutio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371680/ https://www.ncbi.nlm.nih.gov/pubmed/32686681 http://dx.doi.org/10.1038/s41537-020-0108-6 |
| Sumario: | Ethical discourse around machine learning analysis of free speech for the detection of schizophrenia has largely focused on consent and personal privacy. We focus here on additional ethics concerns and principles that must be addressed to move the pendulum of risk over to benefit and propose solutions to achieve that shift. |
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