公共卫生教育中的人工智能:应对道德挑战,赋予下一代专业人士权力
Ashley S Love1,2, Chunling Niu3, Joan Labay-Marquez3
1University of California, Berkeley Extension, Berkeley, CA, USA.
Health promotion practice
|February 28, 2025
概括
人工智能 (AI) 可以通过提供个性化的学习和可扩展的培训来彻底改变公共卫生教育. 然而,道德考虑和监管合规对于其负责任的整合至关重要.
科学领域:
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
- 教育技术的教育技术
背景情况:
- 由于退休和不断变化的能力需求,公共卫生工作人员面临着重大转型.
- COVID-19大流行加速了技术采用,突出了创新的教育解决方案的需要.
研究的目的:
- 探索人工智能 (AI) 在公共卫生教育中的整合.
- 解决与人工智能相关的机遇和道德挑战.
- 准备未来的公共卫生工作人员,配备必要的AI能力.
主要方法:
- 文献综述和对公共卫生教育和人工智能的当前趋势的分析.
- 审查伦理考虑,包括数据隐私,偏见和监管合规性 (例如FERPA,HIPAA).
- 讨论人工智能素养和专业间合作的战略.
主要成果:
- 人工智能为个性化的学习,跨学科的合作和可扩展的公共卫生培训提供了潜力.
- 与数据隐私,偏见和监管遵守相关的伦理挑战必须主动管理.
- 人工智能素养对于当前专业人士来说至关重要,以指导下一代.
结论:
- 将人工智能创新与道德责任相结合的平衡方法对于推进公共卫生教育至关重要.
- 制定明确的指导方针,促进人工智能素养,确保数据隐私和促进伙伴关系是关键的下一步.
- 人工智能可以增强公共卫生教育,为未来的健康挑战做好准备.
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