从"如果-然后"到"如果怎么样?" 重新思考医疗保健算法与后人类投机伦理
Jamie Smith1, Goda Klumbyte2, Ren Loren Britton3
1Charité Universitätsmedizin, Berlin, Corporate Member of the Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Clinical Nursing Science, Berlin, Germany.
概括
医疗保健中的算法管理,或医疗保健算法,可以创造排斥和重现不平等. 后人推测伦理学提供了一种方法,可以批判性地与这些算法系统进行接触.
科学领域:
- 医疗信息学 医疗信息学
- 健康和疾病的社会学
- 批判理论是批判的理论.
背景情况:
- 基于证据的医学利用研究和数据为患者护理途径.
- 算法预测工具越来越多地被整合到医疗管理中.
- 这种整合形成了"医疗保健算法",一种新的医疗保健治理模式.
研究的目的:
- 批判性地检查算法思维和管理在医疗保健中的作用.
- 识别由医疗保健算法产生的潜在排斥和不平等现象.
- 探索后人推测伦理作为一个挑战当前实践的框架.
主要方法:
- 通过批判性的后人主义视角分析医疗保健算法.
- 检查在算法系统中如何构建对机构的权威.
- 批评预测算法如何延续现有的社会不平等.
主要成果:
- 医疗保健算法可以导致算法式的治理,以现有规范为中心的未来.
- 预测性医疗保健算法有可能重现和放大社会不平等.
- 算法生物力量可以根据数据驱动的预测调节身体.
结论:
- 需要批判性地评估医疗保健中的算法管理的伦理影响.
- 后人推测伦理为挑战和重新想象算法医疗保健中的"伦理"和"护理"提供了一个框架.
- 整合投机伦理需要对算法管理和预测给予重视.
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