代理语言框架影响了对人工智能及其创造者的责任分配
Dawson Petersen1, Amit Almor1,2
1Linguistics Program, University of South Carolina, Columbia, SC, United States.
Frontiers in psychology
|May 22, 2025
概括
描述人工智能 (AI) 的代理语言影响了责任感知. 较低的人工智能经验会增加人们对人工智能的责任感,而领域专业知识会通过减少人形化来减轻这种影响.
科学领域:
- 认知心理学 认知心理学
- 人与计算机的交互
- 语言学的语言学.
背景情况:
- 科技公司经常使用代理语言来描述人工智能 (AI) 能力.
- 语言学研究表明,将非人类实体视为代理人可以导致读者将其视为因果行为者.
- 这种框架对对人工智能及其创造者的责任赋予的影响仍未得到充分探索.
研究的目的:
- 调查如何影响语言框架对人工智能和公司的责任分配.
- 确定心理人类形象或语言因果模式是否介导这些效应.
- 检查人工智能用户体验的调节作用.
主要方法:
- 参与者阅读了AI ("AI博士") 提供有害健康建议的视频,以代理人或仪器为框架.
- 收集了人工智能,公司和患者的责任评级.
- 评估了参与者的AI经验.
主要成果:
- 与会者对人工智能赋予了更大的责任,当它被视为一个代理人而不是一个仪器时.
- 观察到一种相互作用:较低的AI经验与在代理框架中更高的AI责任相关.
- 更高的人工智能经验的参与者在框架条件下的责任分配中没有显著差异.
结论:
- 代理语言增加了人们对人工智能的责任感,特别是对不太有经验的用户来说.
- 与人工智能的领域经验通过减少人类形象主义来减轻语言框架的影响.
- 研究结果突出了语言对AI感知和问责制的心理影响.
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