在医疗人工智能中实施道德的系统思维中扎根的参与过程:定性研究
Magali Goirand1, Elizabeth Austin1, Robyn Clay-Williams1
1Australian Institute of Health Innovation, Macquarie University, Sydney, Australia.
Studies in health technology and informatics
|January 25, 2024
概括
让利益相关者参与道德的人工智能开发,特别是对于COVID-19应用程序,是复杂的. 本研究使用批判性系统思维来探索有效的利益相关者参与过程和成果,以更好地实施人工智能道德.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能伦理学 人工智能伦理学
- 公共卫生 公共卫生
背景情况:
- 在技术开发中实施道德准则是具有挑战性的.
- 确保公平,透明和有意义的参与使道德过程复杂化.
- 利益相关者的参与对于道德技术部署至关重要.
研究的目的:
- 探索有效的利益相关者参与策略,用于COVID-19人工智能应用.
- 将批判性系统思维原则应用于道德的人工智能开发.
- 确定卫生技术参与过程的最佳实践.
主要方法:
- 定性研究设计. 定性研究设计.
- 探索利益相关者参与过程.
- 参与结果的分析.
主要成果:
- 关于参与式道德过程复杂性的发现.
- 对批判性系统思维的实际应用的见解.
- 确定影响利益相关者的成功参与的关键因素.
结论:
- 通过利益相关者的参与,改善道德AI应用程序开发的建议.
- 强调透明和公平的参与方法的重要性.
- 建议批判性系统思维作为道德AI实施的框架.
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