认识 (不) 正义,社会认同和黑子问题在病人护理
Muneerah Khan1, Cornelius Ewuoso2
1Steve Biko Centre for Bioethics, University of Witwatersrand, Johannesburg, South Africa. 550470@students.wits.ac.za.
Medicine, health care, and philosophy
|February 14, 2024
概括
本研究探讨了在医疗保健中使用人工智能 (AI) 的伦理问题,重点关注"黑子"问题及其对患者护理和道德规范的影响. 需要进一步的研究来解决AI的问题.
科学领域:
- 生物伦理学生物伦理学
- 人工智能伦理学 人工智能伦理学
- 技术的哲学技术的哲学
背景情况:
- 人工智能 (AI) 在患者护理中的整合带来了复杂的伦理挑战.
- 一些人工智能系统的"黑盒子"性质引发了人们对医疗保健透明度和问责制的担忧.
- 现有的认识不公正和关系自主性的框架为道德评估提供了有价值的视角.
研究的目的:
- 规范性地评估在患者护理中使用人工智能的伦理问题,特别是解决"黑子"问题.
- 阐述黑盒人工智能如何在医疗保健系统中使用.
- 确定必要的步骤,以使医疗保健中的人工智能与既定的道德规范保持一致.
主要方法:
- 基于认识论 (不) 正义和关系自主性理论的规范性伦理评估.
- 在患者护理中的AI背景下分析"黑子"问题.
- 探索人工智能在医疗保健系统中的整合和影响.
主要成果:
- 由于不透明,黑盒人工智能在患者护理中带来了重大的伦理挑战.
- 当前在医疗保健系统中使用人工智能可能会加剧认识系统不公正的问题.
- 将人工智能与道德规范保持一致,需要解决透明度和问责制的问题.
结论:
- 人工智能在医疗保健中的伦理使用需要超越"黑子"的不透明性,与正义和自治的道德规范保持一致.
- 进一步的跨学科研究,包括非殖民学术,对于理解人工智能在医疗保健中的更广泛的人类经验影响至关重要.
- 未来的研究应该探索人工智能在患者护理中的伦理整合的额外障碍.
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