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人工智能和机器学习学术文献中的伦理问题研究:以残疾人为例。

Coverage of ethics within the artificial intelligence and machine learning academic literature: The case of disabled people.

机构信息

Community Rehabilitation and Disability Studies, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

出版信息

Assist Technol. 2021 May 4;33(3):129-135. doi: 10.1080/10400435.2019.1593259. Epub 2019 Apr 17.

DOI:10.1080/10400435.2019.1593259
PMID:30995161
Abstract

Disabled people are often the anticipated users of scientific and technological products and processes advanced and enabled by artificial intelligence (AI) and machine learning (ML). Disabled people are also impacted by societal impacts of AI/ML. Many ethical issues are identified within AI/ML as fields and within individual applications of AI/ML. At the same time, problems have been identified in how ethics discourses engage with disabled people. The aim of our scoping review was to better understand to what extent and how the AI/ML focused academic literature engaged with the ethics of AI/ML in relation to disabled people.Of the n = 1659 abstracts engaging with AI/ML and ethics downloaded from Scopus (which includes all Medline articles) and the 70 databases of EBSCO ALL, we found 54 relevant abstracts using the term "patient" and 11 relevant abstracts mentioning terms linked to "impair*", "disab*" and "deaf". Our study suggests a gap in the literature that should be filled given the many AI/ML related ethical issues identified in the literature and their impact on disabled people.

摘要

残疾人通常是人工智能 (AI) 和机器学习 (ML) 推动和实现的科学和技术产品和流程的预期使用者。残疾人也受到 AI/ML 的社会影响。在 AI/ML 领域和 AI/ML 的各个应用中,已经确定了许多伦理问题。同时,人们发现伦理话语与残疾人的互动存在问题。我们进行这项范围界定审查的目的是更好地了解 AI/ML 重点学术文献在多大程度上以及如何与残疾人的 AI/ML 伦理问题相关联。在从 Scopus(其中包括所有 Medline 文章)下载的 n = 1659 篇涉及 AI/ML 和伦理的摘要中,以及 EBSCO ALL 的 70 个数据库中,我们使用术语“患者”找到了 54 篇相关摘要,使用术语“impair*”、“disab*”和“deaf”找到了 11 篇相关摘要。鉴于文献中确定了许多与 AI/ML 相关的伦理问题及其对残疾人的影响,我们的研究表明文献中存在空白,应该予以填补。

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