开发值得信赖的人工智能:关于人际关系,人机和人-人工智能信任研究的见解
Yugang Li1,2, Baizhou Wu1,2, Yuqi Huang1,2
1CAS Key Laboratory for Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Frontiers in psychology
|May 2, 2024
概括
心理学研究是建立可信的人工智能 (AI) 的关键. 了解人际,人机和人人工智能互动中信任形成的因素,指导道德的人工智能开发和用户采用.
科学领域:
- 心理学 心理学 心理学
- 人工智能伦理学 人工智能伦理学
背景情况:
- 人工智能的快速发展引发了人们对隐私,偏见和安全的担忧.
- 可信的人工智能对于道德,负责任和社会有益的人工智能开发至关重要.
- 对于可信的人工智能的现有指南强调了需要更深入地了解信任的必要性.
研究的目的:
- 证明心理学研究在识别人工智能信任因素方面的重要性.
- 审查关于人际关系,人机和人人工智能信任的研究结果.
- 基于心理洞察力,为开发可靠的人工智能提供指导.
主要方法:
- 使用了一个三维框架 (信托人,受托人,交互式环境).
- 综合不同类型信任信任的信任形成和维护的共同因素.
- 关于人类对人工智能系统的信任的心理学研究结果的审查.
主要成果:
- 确定了构建可信的人工智能的基本要求.
- 突出了影响对人工智能系统信任的关键因素.
- 提供了对各种人与人工智能交互的信任维护的见解.
结论:
- 心理学研究为开发可信的人工智能提供了关键指导.
- 了解信任动态对于人工智能的采用和应用至关重要.
- 沟通,教育和用户培训对于提高AI可信度至关重要.
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