对先进的脑计算机接口进行前性识别风险和控制:网络危险分析和风险管理系统 (Net-HARMS) 方法
Brandon J King1, Gemma J M Read2, Paul M Salmon3
1Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, ML 47, Locked Bag 4, Maroochydore DC, Queensland, 4558, Australia; Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Australia.
Applied ergonomics
|September 12, 2024
概括
像脑计算机接口 (BCI) 这样的先进数字技术带来了风险. 这项研究在BCI生命周期中确定了800多个潜在风险和600个控制措施,以确保系统的弹性.
科学领域:
- 神经科学是一个神经科学.
- 系统工程 系统工程
- 风险管理 风险管理
背景情况:
- 先进的数字技术增加了系统的复杂性和风险,需要积极管理性.
- 脑计算机接口 (BCI) 是具有社会影响的新兴技术,但其风险尚未完全理解或控制.
研究的目的:
- 用结构化,基于系统思维的风险评估方法,对一个假设的未来BCI系统生命周期前性地确定风险和风险控制.
- 在整个BCI系统生命周期中分析潜在风险,从开发到退役.
主要方法:
- 应用了网络危险分析和风险管理系统 (Net-HARMS) 方法.
- 进行了结构化,基于系统思维的风险评估.
主要成果:
- 在BCI系统生命周期 (开发,监管,使用,维护,退役) 中识别了800多种风险.
- 突出的高关键性风险:不安全的BCI植入/退化,未经请求的脑刺激,对关键系统的错误信号,以及不充分的用户支持.
- 确定了600多种潜在的风险控制措施,以提高安全性和性能弹性.
结论:
- 在BCI生命周期中存在重大安全和性能风险.
- 多种BCI利益相关者之间的协作努力对于有效的风险控制至关重要.
- 需要进一步开发系统控制来设计有弹性的社会技术BCI系统.
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