算法的出现? 在人工智能指导的医疗保健转型中的认识论在/正义
1Faculty of Health, Social Care and Medicine, School of Medicine, Edge Hill University, Ormskirk, United Kingdom.
Frontiers in sociology
|February 24, 2025
概括
人工智能 (AI) 在医疗保健中的整合引发了伦理方面的担忧. 这项研究考察了AI.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 社会技术系统 社会技术系统
背景情况:
- 人工智能 (AI) 的整合越来越多,包括深度学习和生成AI,进入医疗保健和公共卫生.
- 越来越多的学者关注人工智能在健康方面的伦理政治影响.
- 需要了解人工智能与现有医疗保健结构的复杂相互作用.
研究的目的:
- 分析医疗保健-人工智能纠的认识论,社会政治和技术影响.
- 探索人工智能物质如何影响医疗保健组织,治理和角色.
- 研究将参与参与纳入卫生人工智能系统的方法.
主要方法:
- 检查人工智能和基于证据的医学 (EBM) 之间的社会技术纠.
- 分析人工智能应用如何优先考虑可计算的医疗领域.
- 探索由于人工智能集成而导致的医疗保健的物质和意识形态重构.
主要成果:
- 人工智能集成的风险是通过优先考虑可计算的方面来脱离医疗保健的质量细微差别.
- 医疗人工智能的发展可以加强现有的偏见,并导致算法不公正.
- 现有的医疗保健基础设施和实践正在被人工智能组合重塑.
结论:
- 健康AI的公平发展和治理需要仔细考虑其社会技术影响.
- 解决算法不公正对于在医疗保健中负责任地部署人工智能至关重要.
- 需要参与性参与策略来应对AI在健康领域的复杂性.
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