Susana Román García, Ceilidh Welsh, Nina H Di Cara, David C Sterratt, Nicola Romanò, Melanie I Stefan
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引用次数: 0
Abstract
The Data Hazards framework (Zelenka, Di Cara, & Contributors, 2024) is intended to encourage thinking about the ethical implications of data science projects. It takes the form of community-designed data hazard labels, similar to warning labels on chemicals, that can encourage reflection and discussion on what ethical risks are associated with a project and how they can be mitigated. In this article, we explain how the Data Hazards framework can apply to neuroscience. We demonstrate how the hazard labels can be applied to one of our own projects, on the computational modelling of postsynaptic mechanisms.
Graphical abstract:
Supplementary information: The online version contains supplementary material available at 10.1007/s12152-024-09580-3.
期刊介绍：
Neuroethics is an international, peer-reviewed journal dedicated to academic articles on the ethical, legal, political, social and philosophical questions provoked by research in the contemporary sciences of the mind and brain; especially, but not only, neuroscience, psychiatry and psychology. The journal publishes articles on questions raised by the sciences of the brain and mind, and on the ways in which the sciences of the brain and mind illuminate longstanding debates in ethics and philosophy.
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