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相关实验视频

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人工智能,复杂性和全球治理中的系统弹性.

Andrés Ilcic1,2, Miguel Fuentes2,3,4, Diego Lawler2

  • 1Facultad de Filosofía y Humanidades, Universidad Nacional de Córdoba, Córdoba, Argentina.

Frontiers in artificial intelligence
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概括

人工智能 (AI) 在全球治理中的整合提供了弹性,但也带来了风险. 复杂性科学为适应性,包容性模型提供了一个框架,用于管理AI.

关键词:
适应性治理 适应性的治理人工智能 (AI) 是一种人工智能.复杂性科学 复杂性科学伦理的人工智能国际治理的国际治理科学 外交 科学 外交社会技术系统社会技术系统系统弹性 系统弹性

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科学领域:

  • 全球治理全球治理
  • 复杂性科学 复杂性科学
  • 人工智能伦理学 人工智能伦理学

背景情况:

  • 人工智能 (AI) 正在改变国际治理,为增强系统性创造机会,并为重大伦理,社会和地缘政治挑战带来挑战.
  • 人工智能具有双重能力:一种是改善决策和危机管理的工具,另一种是带来破坏性的力量,引入数据偏见和加剧不平等等风险.
  • 现有的治理模式很难解决人工智能驱动的社会技术系统固有的复杂性和不确定性.

研究的目的:

  • 提出复杂性科学作为导航人工智能融入全球治理的框架.
  • 倡导适应性,包容性治理模型,管理人工智能的固有不确定性.
  • 用复杂性作为边界概念,弥合治理文学与科学技术哲学之间的差距.

主要方法:

  • 分析人工智能在治理中的双重作用:变革性工具与破坏性力量.
  • 将弹性作为一个边界概念来整合各种学科和实践.
  • 概念方法将复杂性见解与机构模块化和利益相关方合作相结合.

主要成果:

  • 复杂性科学为了解和管理全球治理中的AI提供了有价值的框架.
  • 适应性和包容性治理模型对于解决人工智能的风险至关重要,包括数据偏见和不平等.
  • 将复杂性见解与机构模块化和利益相关者合作等原则相结合,可以促进公平,问责和可持续性.

结论:

  • 人工智能融入全球治理需要适应性,包容性模型,由复杂性科学提供信息.
  • 作为一个边界概念的弹性是技术创新与社会价值观保持一致的关键.
  • 通过将治理与科技哲学相结合的概念方法,可以确保人工智能部署有助于实现更公平,更有弹性的全球未来.