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量化人工智能在科学研究中的使用和潜在益处
Jian Gao1,2,3,4, Dashun Wang5,6,7,8
1Center for Science of Science and Innovation, Northwestern University, Evanston, IL, USA.
Nature human behaviour
|October 11, 2024
概括
人工智能 (AI) 在科学中越来越多地使用,但教育差距和人口差异限制了它的好处. 解决这些问题对于公平的科学进步至关重要.
科学领域:
- 涵盖了各种科学学科,反映了AI的广泛适用性.
背景情况:
- 人工智能的经济影响得到了充分研究,但它对科学研究的直接好处尚未得到系统的理解.
- 人工智能 (AI) 的快速发展需要对其在科学努力中的作用进行评估.
研究的目的:
- 开发一个框架来衡量人工智能在科学中的直接使用,并量化其相关的好处.
- 分析AI整合在科学研究中的趋势,挑战和公平影响.
主要方法:
- 开发一种新的测量框架,以评估AI在科学研究中的利用和影响.
- 分析各种科学领域的AI采用趋势和好处.
主要成果:
- 人工智能的使用和好处在各个科学领域都很普遍,自2015年以来观察到快速增长.
- 人工智能教育与其在研究中的应用之间存在很大的差距,这表明人工智能专业知识的供需不匹配.
- 确定了人口差异,学科中女性比例较高或黑人科学家从人工智能中受益较少,这可能会加剧现有的不平等.
结论:
- 人工智能融入科学正在加深,对研究公平性和可持续性产生重大影响.
- 解决人工智能教育差距和人口差异对于最大限度地提高所有科学界的人工智能的好处至关重要.
- 未来的研究应该集中在公平的AI实施上,以确保包容性的科学进步.
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