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将 IEEE BRAIN 神经伦理学框架应用于皮质内脑机接口。

Applying the IEEE BRAIN neuroethics framework to intra-cortical brain-computer interfaces.

机构信息

Department of Electrical and Computer Engineering and the Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America.

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano 20131, Italy.

出版信息

J Neural Eng. 2024 Apr 4;21(2). doi: 10.1088/1741-2552/ad3852.

Abstract

. Brain-computer interfaces (BCIs) are neuroprosthetic devices that allow for direct interaction between brains and machines. These types of neurotechnologies have recently experienced a strong drive in research and development, given, in part, that they promise to restore motor and communication abilities in individuals experiencing severe paralysis. While a rich literature analyzes the ethical, legal, and sociocultural implications (ELSCI) of these novel neurotechnologies, engineers, clinicians and BCI practitioners often do not have enough exposure to these topics.. Here, we present the IEEE Neuroethics Framework, an international, multiyear, iterative initiative aimed at developing a robust, accessible set of considerations for diverse stakeholders.. Using the framework, we provide practical examples of ELSCI considerations for BCI neurotechnologies. We focus on invasive technologies, and in particular, devices that are implanted intra-cortically for medical research applications.. We demonstrate the utility of our framework in exposing a wide range of implications across different intra-cortical BCI technology modalities and conclude with recommendations on how to utilize this knowledge in the development and application of ethical guidelines for BCI neurotechnologies.

摘要

脑机接口(BCIs)是一种神经假体设备,可实现大脑与机器之间的直接交互。鉴于此类神经技术有望恢复严重瘫痪患者的运动和交流能力,近年来,它们在研究和开发方面得到了大力推动。虽然有大量文献分析了这些新型神经技术的伦理、法律和社会文化影响(ELSCI),但工程师、临床医生和 BCI 从业者通常对这些主题了解不多。在这里,我们介绍 IEEE 神经伦理学框架,这是一个国际性的、多年的、迭代的计划,旨在为不同利益相关者开发一套强大的、易于理解的考虑因素。我们使用该框架提供了 BCI 神经技术的 ELSCI 考虑因素的实际示例。我们专注于侵入性技术,特别是用于医学研究应用的皮质内植入设备。我们展示了我们的框架在揭示不同皮质内 BCI 技术模式的广泛影响方面的效用,并就如何在 BCI 神经技术的伦理准则的制定和应用中利用这些知识提出了建议。

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