护理教育中的伦理和技术:重新思考人工智能
1Nurse, Ph.D Candidate. Professor, Universidad Santo Tomás, Sede Santiago, Chile. palmiracanalesmo@santotomas.cl.
Investigacion y educacion en enfermeria
|November 25, 2025
概括
护士教育中的人工智能 (AI) 提供了包容性和缩小差距,但存在监视和排斥的风险. 伦理整合需要谨慎的设计,监管和教育专注于关怀,尊严和批判性思维.
科学领域:
- 护理教育 护理教育
- 人工智能伦理学 人工智能伦理学
- 数字健康数字健康
背景情况:
- 人工智能 (AI) 融入护理专业教育提出了复杂的伦理考虑.
- 最近的科学文献强调了人工智能在这个领域所带来的机遇和风险.
研究的目的:
- 批判性地分析人工智能在护理教育中的道德挑战和机遇.
- 检查人工智能在个性化学习中的作用,减少教育差异,增强临床判断.
- 为了应对算法监控和技术排斥等风险.
主要方法:
- 对最近的科学文献进行论证性审查.
- 关键维度的分析:个性化学习,数字股权和人工智能辅助的模拟.
- 检查道德风险,包括算法监控和道德推理的机械化.
主要成果:
- 人工智能为护理教育提供了个性化学习,包容性和学术自主性的机会.
- 人工智能可以通过确保数字公平的政策来减少教育差距.
- 人工智能辅助的模拟可以加强临床和道德判断,但存在监视和排斥的风险.
结论:
- 人工智能在护理教育中的伦理整合取决于其设计,监管和教学应用,优先考虑护理,尊严和批判性思维.
- 在数字素养较低的环境中解决技术排斥至关重要.
- 需要进一步的研究来指导道德AI实施的监管框架和教育策略.
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