如何减轻在医学中部署人工智能的风险?
Sevil Uygun Ilikhan1, Mahmut Özer2, Hande Tanberkan3
1Department of Internal Medicine Sciences, Gülhane Faculty of Medicine, University of Health Sciences, Ankara, Turkiye.
Turkish journal of medical sciences
|July 25, 2024
概括
医学中的人工智能 (AI) 存在诸如偏见数据和隐私问题等风险. 这项研究建议提高人工智能素养和道德融合,以确保安全和公平的医疗保健.
科学领域:
- 医疗信息学 医疗信息学
- 生物伦理学生物伦理学
- 卫生政策 卫生政策
背景情况:
- 人工智能 (AI) 在医疗保健中提供了变革性的潜力.
- 快速的AI整合带来了重大的伦理,法律和社会挑战.
- 解决这些挑战对于实现AI在医学中的好处至关重要.
研究的目的:
- 检查AI在医学中的风险.
- 为减轻风险和优化效益提出政策建议.
- 确保在医疗保健中安全,公平和有效地使用AI.
主要方法:
- 关于AI在医学中的当前科学文献的综述.
- 探索减轻发现风险的策略.
- 对道德,法律和社会影响的分析.
主要成果:
- 人工智能风险包括导致医疗保健不平等的数据偏见.
- 人工智能缺乏解释性和问责制,可能会影响患者的安全.
- 确保患者隐私和数据安全至关重要.
结论:
- 建议包括提高人工智能素养和采用"循环中的社会"方法.
- 整合伦理原则和文化价值观至关重要.
- 实施这些策略将提高AI在医学中的效率,公平性和安全性.
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