培训生物伦理学专业人员的人工智能伦理:一个框架
Etienne Aucouturier1, Alexei Grinbaum1
1CEA-Saclay, France.
概括
本研究介绍了一个人工智能伦理培训模块,用于医疗保健专业人员识别和管理人工智能的伦理问题. 该模块包含一个检查清单,词汇表和案例研究,适用于各种大学课程和伦理委员会.
科学领域:
- 生物伦理学生物伦理学
- 医疗保健中的人工智能
- 医学伦理教育教育 医学伦理教育
背景情况:
- 人工智能 (AI) 在医疗保健中的日益集成需要道德准备.
- 人工智能道德挑战的识别和减轻专业人员现有的培训缺口.
- 需要标准化框架来指导在医疗环境中道德AI实施.
研究的目的:
- 为医疗保健专业人员提供全面的AI伦理培训模块.
- 为各种各样的受众提供解决人工智能在医疗保健中的道德困境的技能.
- 为评估和管理AI道德考虑提供实用工具.
主要方法:
- 开发一个以人工智能伦理为重点的模块化培训计划.
- 包括实用资源:两页的检查清单,术语词典和三个案例研究.
- 适用框架培训研究伦理委员会成员.
主要成果:
- 培训模块有效地为专业人士准备识别潜在的伦理挑战.
- 提供的材料 (检查清单,词汇表,案例研究) 提供了实际指导.
- 该框架已经在法国和南非的伦理委员会成员中成功试行.
结论:
- 人工智能伦理培训模块是医疗保健专业人员的宝贵资源.
- 培训框架可以适应各种学术学科,包括公共卫生,医疗保健法,生物医学工程和应用伦理学.
- 该倡议支持在医疗保健领域负责任地开发和部署人工智能.
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