谨慎乐观:公众对医疗人工智能和社会技术伤害的声音
Beverley A Townsend1, Victoria J Hodge2, Hannah Richardson3
1York Law School, University of York, York, United Kingdom.
Frontiers in digital health
|October 9, 2025
概括
关于医疗人工智能 (AI) 的公众观点显示,谨慎的乐观情绪与对社会技术危害的重大担忧相辅相成. 解决这些危害,包括偏见和访问问题,对于负责任的AI采用至关重要,需要监管指导.
科学领域:
- 医疗技术 医疗技术 医学技术
- 人工智能伦理学 人工智能伦理学
- 社会技术系统 社会技术系统
背景情况:
- 医疗人工智能 (AI) 提出了复杂的社会,伦理和监管挑战.
- 社会技术伤害包括医疗人工智能对个人和社会的各种不利影响.
- 了解公众观点对于指导政策干预以减轻危害至关重要.
研究的目的:
- 探索公众对医疗人工智能采用的看法和期望.
- 识别和理解与医疗AI中社会技术伤害相关的问题.
- 为有效实施人工智能的政策制定提供信息.
主要方法:
- 定性研究设计涉及20次采访和/或长形式问卷调查与英国参与者.
- 强调多样性和包容性,从各种种族,语言和少数群体招聘.
- 对成绩单和响应进行主题分析,以识别感知和伤害.
主要成果:
- 参与者表达了谨慎的乐观,但对医疗人工智能的社会技术伤害表示严重担忧.
- 关键问题包括对自主权的损害,护理标准的降低,价值错位,偏见,数据隐私和访问不平等.
- 对解决危害的责任被认为是共同的,主要关注监管机构.
结论:
- 医疗人工智能采用需要积极识别,优先考虑和减轻社会技术伤害.
- 制定明确的影响和缓解策略,嵌入亲社会价值观,并提供政策指导是必不可少的.
- 解决实际访问障碍对于公平的人工智能实施至关重要.
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