捍卫可解释性作为医学中人工智能的伦理原则
1Centre for Medical Ethics, Institute of Health and Society, Faculty of Medicine, University of Oslo, Kirkeveien 166, Fredrik Holsts hus, Oslo, 0450, Norway. jonathan.adams@medisin.uio.no.
Medicine, health care, and philosophy
|August 29, 2023
概括
解释人工智能 (AI) 的结果是一个道德挑战. 这篇论文主张一个新的新的论文.
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
- 医疗人工智能 医疗人工智能
背景情况:
- 解释人工智能 (AI) 的成果是一个重大的伦理挑战,特别是在医学领域.
- 现有的生物伦理框架,如原则主义,可能需要增强以解决AI的独特特征.
研究的目的:
- 对传统的生物伦理原则主义增加"可解释性原则"的提议进行研究.
- 为了回应那些质疑可解释性作为人工智能的伦理原则的必要性的批评.
主要方法:
- 对道德原则和人工智能的哲学分析.
- 对现有的反对可解释性原则的论点进行批评.
- 重新解释原则主义以适应AI的伦理要求.
主要成果:
- 可解释性可以作为伦理原则,使技术AI需求与伦理理论的整合成为可能.
- 在原则主义中为伦理原则的理由支持可解释性作为中级原则.
- 人工智能决策与人类决策的区别在于,由于社会背景,人工智能决策的解释性不同.
结论:
- 可解释性原则是对生物伦理学原则的必要补充,用于管理医学中的AI.
- 可解释性将人工智能的技术要求与高级伦理考虑统一起来.
- 区分人工智能可解释性和人类可解释性对于道德治理至关重要.
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