反对什么:消费者对算法标签的厌恶,但不是他们的输出?
Shwetha Mariadassou1, Anne-Kathrin Klesse1, Johannes Boegershausen1
1Erasmus University Rotterdam, Rotterdam School of Management, the Netherlands.
Current opinion in psychology
|July 12, 2024
概括
人们可能不喜欢人工智能标签,但欣赏人工智能的输出. 未来的研究应该检查人工智能工具标签,用户交互和技术配置,以全面了解公众的感知.
科学领域:
- 人与计算机的交互
- 人工智能伦理学 人工智能伦理学
- 技术的社会心理学技术的社会心理学.
背景情况:
- 越来越多的研究研究了公众对人工智能工具和算法的反应.
- 现有的文献经常强调负面反应,称为算法厌恶或人类偏好.
- 这项研究提出了一个对人类-人工智能交互的细微视角.
研究的目的:
- 提出人类对人工智能的反应的第三种解释:标签厌恶与输出欣赏相结合.
- 为完善人与算法的交互研究提供见解.
- 鼓励对人工智能感知进行更广泛的检查,而不仅仅是简单的厌恶.
主要方法:
- 人与人工智能相互作用研究的文献综述和理论分析.
- 概念框架的开发,以了解关于人工智能的世俗信仰.
- 确定影响用户对人工智能工具感知的关键因素.
主要成果:
- 人类的厌恶可能源于AI工具的标签,而不是技术本身.
- 用户可以欣赏人工智能产生的输出,即使他们对底层算法持谨慎态度.
- 标签感知与输出评估之间的区别至关重要.
结论:
- 未来的研究必须仔细考虑人工智能工具的标签,以准确地衡量公众的看法.
- 研究应该扩大其范围,包括用户与人工智能工具的交互.
- 对人工智能系统的技术配置进行核算对于了解用户反应至关重要.
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