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本文引用的文献

1
Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments.公平预测与差异影响：累犯预测工具中的偏见研究。
Big Data. 2017 Jun;5(2):153-163. doi: 10.1089/big.2016.0047.
2
Semantics derived automatically from language corpora contain human-like biases.从语言语料库中自动推导出来的语义包含类人偏见。
Science. 2017 Apr 14;356(6334):183-186. doi: 10.1126/science.aal4230.
3
Incorporating intersectionality theory into population health research methodology: challenges and the potential to advance health equity.将交叉性理论纳入人口健康研究方法学中：挑战与推进健康公平的潜力。
Soc Sci Med. 2014 Jun;110:10-7. doi: 10.1016/j.socscimed.2014.03.022. Epub 2014 Mar 25.
4
The problem with the phrase women and minorities: intersectionality-an important theoretical framework for public health.短语“女性和少数族裔：交叉性——公共卫生的一个重要理论框架”存在问题。
Am J Public Health. 2012 Jul;102(7):1267-73. doi: 10.2105/AJPH.2012.300750. Epub 2012 May 17.

Artificial Intelligence, Intersectionality, and the Future of Public Health.

作者信息

Bauer Greta R, Lizotte Daniel J

机构信息

Greta R. Bauer is with the departments of Epidemiology and Biostatistics and Gender, Sexuality and Women's Studies, Western University, London, ON, Canada. Daniel J. Lizotte is with the departments of Epidemiology and Biostatistics and Computer Science, and the Schulich Interfaculty Program in Public Health, Western University.

出版信息

Am J Public Health. 2021 Jan;111(1):98-100. doi: 10.2105/AJPH.2020.306006.

DOI:10.2105/AJPH.2020.306006
PMID:33326280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7750598/
Abstract
摘要