在STEM团队中催化公平:利用生成人工智能促进包容性和多样性
Nia Nixon1, Yiwen Lin1, Lauren Snow1
1University of California, Irvine, California, USA.
概括
生成型人工智能可以通过评估包容性分析和提供个性化的支持来加强STEM团队的多样性和包容性. 这促进了公平的科学努力,所有声音都能被听到.
科学领域:
- 这就是STEM (科学,技术,工程和数学) 的意思.
- 人工智能的人工智能
- 计算建模 计算建模
背景情况:
- 在STEM领域的不平等限制了潜力,原因是代表性不足的学生面临心理障碍.
- 多学科的团队合作对于解决STEM中复杂的问题至关重要.
研究的目的:
- 探索计算建模和生成AI在促进STEM团队中的多样性和包容性方面的潜力.
- 概述通过人工智能在STEM中推进多样性,平等和包容 (DEI) 的战略.
主要方法:
- 记录STEM中的团队合作.
- 利用生成性AI来确定DEI进步的领域.
- 建议通过包容性分析将协作评估正式化.
- 建议适应性,个性化的AI系统用于DEI支持.
主要成果:
- 生成型人工智能为推进DEI提供了两个主要领域:用于协作评估的包容性分析和个性化的AI支持系统.
- 概述了四项政策建议:正式的协作技能评估,包容性分析,为社会认知研究提供资金,以及人与人工智能合作进行包容性培训.
结论:
- 人工智能可以显著提高协作评估,并提供个性化的支持,以促进STEM中的多样性和包容性.
- 实施这些人工智能驱动的战略和政策建议可以帮助建立一个公平的STEM生态系统,鼓励和听取多样化的声音.
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