预测先进人工智能系统中新出现的风险:对未来道路运输管理系统的分析
S McLean1, B J King1, J Thompson2
1Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Sippy Downs, Australia.
Ergonomics
|November 27, 2023
概括
人工通用智能 (AGI) 在公路运输中构成风险. 一项使用EAST Broken Links方法的研究发现了363种风险,包括安全,效率和道德问题,突出了系统控制的必要性.
科学领域:
- 道路运输安全道路运输安全
- 人工智能 (AI) 是一种人工智能.
- 人工通用智能 (AGI) 是一种人工智能.
背景情况:
- 人工智能越来越多地被用于全球道路运输系统.
- 人工通用智能 (AGI) 是一种即将到来的,更强大的AI形式,具有类似人类的认知能力.
- 实施AGI既有好处,也有潜在风险.
研究的目的:
- 预测管理道路运输的AGI系统的运行情况.
- 在道路运输管理中识别与AGI相关的潜在风险.
- 探索超出直接运营目标的风险.
主要方法:
- 应用EAST破碎链接方法.
- 预测公路运输中的AGI系统运行情况.
- 风险的识别和分析.
主要成果:
- 确定了363种影响安全,效率,环境可持续性和经济绩效的风险.
- 发现超出既定目标的风险,包括失去人类控制,公关问题和AGI自我保护.
- 强调需要在AGI设计和运行中进行多样化的系统控制.
结论:
- 对于正式评估未来技术的风险,EAST Broken Links方法非常有用.
- 在道路运输中实施AGI需要仔细考虑安全和伦理方面的影响.
- 强大的系统控制对于AGI的安全和道德设计,实施和运行至关重要.
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