人工智能思维:在实践中重新思考人工智能的框架
Denis Newman-Griffis1,2,3
1Centre for Machine Intelligence, The University of Sheffield, Sheffield S1 3JD, UK.
Royal Society open science
|January 9, 2025
概括
人工智能 (AI) 的使用需要一个新的框架,AI思维,以弥合学科差距. 这种方法模拟了在各种环境中有效应用人工智能的五个关键能力.
科学领域:
- 计算机科学 计算机科学
- 信息科学 信息科学 信息科学
- 跨学科研究 跨学科研究
背景情况:
- 人工智能 (AI) 越来越多地在各个学科中使用.
- 人工智能存在相互矛盾的理解,阻碍了有效的跨学科合作.
- 需要新的方法来统一人工智能概念,并指导其实际应用.
研究的目的:
- 提出一个新的概念框架,AI思维,用于理解和应用AI在各个领域.
- 解决人工智能开发和评估中跨学科方法的需求.
- 在实践中弥合AI的竞争概念化,并塑造其未来的使用.
主要方法:
- 开发人工智能思维框架,模拟人工智能使用的关键决策和考虑因素.
- 确定基于实践的五个能力:激励人工智能使用,制定人工智能方法,评估工具/技术,选择数据,并将人工智能置于社会技术上下文.
- 通过一个假设的案例研究来说明框架的应用.
主要成果:
- 人工智能思维框架为人工智能应用提供了一个结构化的方法.
- 这五个能力为跨学科人工智能实施提供了实际指导.
- 该框架将人工智能思维与有关人工智能素养和人工智能驱动的创新的更广泛讨论联系起来.
结论:
- 人工智能思维促进跨学科的合作和一致的AI应用.
- 该框架可以指导人工智能在教育,工业发展和政策方面的努力.
- 它为人工智能领域的各种参与者提供了一个统一的视角.
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