对数字化和人工智能的信任:德国对医疗保健专业人员的定性研究结果
Birgit Babitsch1, Niels Hannemann2, Jan-Oliver Kutza1,2
1Department of New Public Health, Osnabrück University, Germany.
Studies in health technology and informatics
|October 23, 2023
概括
专家们通常信任数字技术,但对人工智能 (AI) 的信任较小. 建立对人工智能的信任需要可解释的人工智能和专业培训,以确保安全和关键的使用.
科学领域:
- 计算机科学 计算机科学
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
背景情况:
- 数字技术的接受取决于人们对其可信度的看法.
- 了解对人工智能 (AI) 的信任对于其采用至关重要.
- 对人工智能信任的专家意见对于指导发展和政策至关重要.
研究的目的:
- 探索专家如何对数字技术和人工智能给予信任.
- 确定影响对人工智能系统信任的因素.
- 了解对新兴技术信任的复杂性.
主要方法:
- 对12名专家的采访进行了定性内容分析.
- 专注于对数字技术和人工智能的信任归因的分析.
- 专家经验和观点的探索.
主要成果:
- 大多数专家信任数字技术,但只有五人对人工智能表示普遍信任.
- 共同因素有助于建立对数字技术和人工智能的信任.
- 对人工智能的信任是复杂和多方面的,受到各种因素的影响.
结论:
- 可解释性AI (XAI) 是培养信任的先决条件.
- 专业培训对于AI的关键和安全使用至关重要.
- 解决信任的复杂性是人工智能接受和整合的关键.
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