作为神经科学伦理工具包的数据危害。

IF 2.6 4区哲学 Q1 ETHICS

Neuroethics Pub Date : 2025-01-01 Epub Date: 2025-02-19 DOI:10.1007/s12152-024-09580-3

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

摘要

数据危害框架（Zelenka, Di Cara, & contributor, 2024）旨在鼓励对数据科学项目的伦理影响进行思考。它采用社区设计的数据危险标签的形式，类似于化学品上的警告标签，可以鼓励反思和讨论与项目相关的道德风险以及如何减轻这些风险。在本文中，我们将解释数据危害框架如何应用于神经科学。我们演示了如何将危险标签应用于我们自己的一个项目，即突触后机制的计算建模。图片摘要：补充资料：在线版本包含补充资料，网址为10.1007/s12152-024-09580-3。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Hazards as An Ethical Toolkit for Neuroscience.

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.

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来源期刊

Neuroethics MEDICAL ETHICS-

CiteScore

5.50

自引率

7.10%

发文量

审稿时长

>12 weeks

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.