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利用人类和机器智能为地球层面的气候行动发挥作用.
Ramit Debnath1,2, Felix Creutzig3,4, Benjamin K Sovacool5,6,7
1Cambridge Zero and Department of Computer Science and Technology, University of Cambridge, Cambridge, CB3 0FD United Kingdom.
概括
开发不那么偏见的人工智能 (AI) 对气候行动至关重要. 这项研究提出了以数据为中心的方法,以创建值得信赖的AI系统,支持行星健康并减少数据不公正.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 社会学 社会学 社会学
背景情况:
- 人工智能 (AI) 的发展对社会和环境产生影响,影响就业市场和气候行动.
- 偏见的人工智能培训数据集可能会破坏政治机构的稳定,破坏社会稳定,可能导致社会转折事件.
- 尽量减少人工智能的偏见对于有效的气候变化减缓和适应战略至关重要.
研究的目的:
- 在气候行动中解决对不太偏见的人工智能系统的关键需求.
- 探索以数据为中心的知识生成,为可信的人工智能在地球健康方面提供服务.
- 研究人工智能与认识网络的协同调整,以改善决策.
主要方法:
- 专注于以数据为中心的知识生成,以最大限度地减少AI偏见.
- 提出一个人-在-循环AI设计.
- 将人工智能与一个认识网络共同调整为应对行星健康挑战.
主要成果:
- 人工智能系统可以通过以数据为中心的方法设计,以尽量减少偏见.
- 人类在循环中的人工智能可以为支持气候行动的行星认识网络做出贡献.
- 人工智能可以通过理解社会倾斜因素和减少数据不公正,使缓解和适应干预成为可能.
结论:
- 对于可信的气候行动决策来说,一个不那么有偏见,人类在循环中的人工智能至关重要.
- 将人工智能与对地球健康的认识网络共同调整至关重要.
- 这种方法可以减轻数据不公正,并支持社会和环境的福祉.
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