[伦理学和人工智能] 伦理学与人工智能
Elmar Kotter1, Daniel Pinto Dos Santos2,3
1Klinik für Diagnostische und Interventionelle Radiologie, Universitätsklinikum Freiburg, Hugstetterstr. 55, 79106, Freiburg, Deutschland. elmar.kotter@uniklinik-freiburg.de.
Radiologie (Heidelberg, Germany)
|March 19, 2024
概括
放射学中的人工智能 (AI) 可以提高效率,但也带来道德挑战. 解决数据偏差,放射科医生的角色和责任对于安全的AI集成至关重要.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 放射学伦理学 放射学伦理学
背景情况:
- 人工智能 (AI) 在放射学中的整合有望提高效率和诊断准确性.
- 然而,人工智能采用引入了重要的伦理考虑,包括数据保护,放射科医生角色演变,责任和偏见减轻.
研究的目的:
- 探索人工智能在放射学中的伦理风景.
- 确定在诊断工作流程中对负责任的人工智能实施的主要挑战和要求.
主要方法:
- 对放射学中人工智能应用的文献综述.
- 对道德影响的分析,包括数据偏见和认知偏见 (过度依赖).
- 审查监管框架,如欧盟人工智能法案,关于医疗人工智能数据集.
主要成果:
- 数据偏差可以通过仔细的数据集编译和代表性来减轻.
- 认知偏见,特别是过度依赖人工智能,是一个问题.
- 目前的人工智能系统主要被用作"第二视角"工具,未来有可能成为"第一视角"或自主角色.
结论:
- 仔细的数据集策划对于防止医疗人工智能的偏见至关重要,正如欧盟人工智能法案等法规所要求的那样.
- 放射科医生的不断变化的角色和责任问题必须解决先进的人工智能集成 (例如",第一视"或自主系统).
- 积极的道德和监管框架是必要的,以安全有效地利用人工智能在放射学中的好处.
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