人工智能与性别平等:健康专业教育的综合方法
Margaret Bearman1, Rola Ajjawi2
1Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University, Melbourne, Victoria, Australia.
Medical education
|March 10, 2025
概括
医疗保健中的人工智能 (AI) 可能会加剧性别不平等. 卫生专业教育必须解决人工智能问题.
科学领域:
- 卫生与医学社会学 卫生与医学社会学
- 数字健康与人工智能 伦理学
- 健康 专业 教育 卫生 专业 教育
背景情况:
- 人工智能 (AI) 在医疗保健环境中的整合越来越多地与加剧现有的性别不平等有关.
- 卫生专业教育计划必须为未来的从业人员提供知识,以导航人工智能介导的工作环境.
- 了解人工智能的社会技术性质对于解决它对健康领域性别平等的影响至关重要.
研究的目的:
- 综合当前和未来的人工智能加剧医疗保健中的性别不平等的方法.
- 为教学人工智能和卫生专业课程中的公平提出综合方法.
- 突出教育在缓解人工智能驱动的性别差异方面的作用.
主要方法:
- 基于女权主义学术和经验证据的概念论文.
- 关于人工智能开发过程和人工智能输出的文献综合.
- 对人工智能增强卫生工作人员不平等的分析及其对患者和提供者互动的影响.
主要成果:
- 从开发到输出,性别差异嵌入了人工智能技术中.
- 人工智能强化了现有的卫生工作人员不平等,分配性别角色.
- 人工智能可以通过专注于数字表示而不是体现的交互来使患者护理变得非个性化.
结论:
- 解决人工智能对性别平等的影响需要理解人工智能是一种社会技术现象,而不仅仅是技术偏见问题.
- 医疗保健课程应该整合AI与性别知识实践交叉的临床相关例子.
- 学生需要指导如何批判性地评估AI数据,优先考虑体现患者护理,以及如何在受AI影响的性别化工作场所进行导航.
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