推动在科学、技术、工程和数学（STEM）教育以及人工智能研究中纳入对 LGBTQ+ 群体的包容。
Advancing LGBTQ+ inclusion in STEM education and AI research.
作者信息
Wong Emily, Urbanowicz Ryan J, Bright Tiffani J, Tatonetti Nicholas P, Hsiao Yi-Wen, Huang Xiuzhen, Moore Jason H, Peng Pei-Chen
机构信息
Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
出版信息
Patterns (N Y). 2024 Jun 14;5(6):101010. doi: 10.1016/j.patter.2024.101010.
Abstract
The authors emphasize diversity, equity, and inclusion in STEM education and artificial intelligence (AI) research, focusing on LGBTQ+ representation. They discuss the challenges faced by queer scientists, educational resources, the implementation of National AI Campus, and the notion of intersectionality. The authors hope to ensure supportive and respectful engagement across all communities.
摘要
作者强调科学、技术、工程和数学（STEM）教育以及人工智能（AI）研究中的多样性、公平性和包容性，重点关注 LGBTQ+ 的代表性。他们讨论了酷儿科学家面临的挑战、教育资源、国家人工智能校园的实施以及交叉性的概念。作者希望确保所有社区都能进行支持性和尊重性的互动。
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