在AI医疗图像中,护理学生对性别和种族的看法
1Selcuk University Akşehir Kadir Yallagöz Health School, Konya, Turkey.
Nursing ethics
|December 2, 2025
概括
医疗保健中的人工智能 (AI) 可以通过生成的图像来延续性别和种族刻板印象. 护理学生 护理学生
科学领域:
- 护理教育 护理教育
- 医疗保健中的人工智能
- 数字健康伦理学 数字健康伦理学
背景情况:
- 人工智能 (AI) 在医疗保健中的整合影响了专业的学习和决策.
- 人工智能产生的内容经常延续社会性别和种族刻板印象.
- 了解人工智能对医疗保健专业人员感知的影响至关重要.
研究的目的:
- 研究人工智能生成的图像如何塑造护理学生对性别,种族和职业角色的看法.
- 调查这些感知对沟通风格和AI交互中的伦理意识的影响.
- 评估人工智能对未来护士职业认同形成的影响.
主要方法:
- 一个多方法,横截面设计,结合了定量和定性方法.
- 对性别态度的定量评估和对视觉解释的定性探索.
- 分析与人工智能聊天机器人的互动中的沟通模式.
主要成果:
- 护理学生依靠视觉线索 (衣服,姿势) 来确定角色,经常将医生与男性联系起来,护士与女性联系在一起.
- 与男性相比,女学生对性别和种族不平衡的敏感性更高,男性认为视觉内容更中立.
- 定量分析将女性性别,低收入和高GPA与更平等的态度联系起来.
结论:
- 在AI视觉和语言中隐含的性别和种族刻板印象影响护理学生的感知和AI交互.
- 将人工智能道德,性别平等和数字素养纳入护理课程是必不可少的.
- 培养批判意识和算法公平性支持未来护士公平的专业身份发展.
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