我与机器的对抗? 对人类和人工智能产生的建议进行主观评估
Merrick R Osborne1, Erica R Bailey2
1U.C. Berkeley, Haas School of Business, Berkeley, United States. mrosborne@berkeley.edu.
Scientific reports
|February 1, 2025
概括
人工智能 (AI) 与人类相比,提供了优越的个人建议,但用户表现出对它的偏见. 与人工智能工具的交互也可能对自我认知和真实性评级产生负面影响.
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
- 认知心理学 认知心理学
背景情况:
- 人工智能在决策中的融入越来越多.
- 公众对人工智能工具的怀疑和厌恶.
- 对人工智能对自我感知的影响的理解有限.
研究的目的:
- 在个人咨询中评估大型语言模型 (LLM) 的性能.
- 调查用户对人工智能产生的建议的看法 (质量,有效性,真实性).
- 探索AI互动如何影响用户的自我评估.
主要方法:
- 五个预先注册的实验,共有1722名参与者.
- 人与聊天GPT产生的建议的比较.
- 操纵人工智能与自生成建议之间的交互顺序.
主要成果:
- 聊天GPT的建议优于普通人的建议,即使是在像关系这样的敏感领域.
- 对ChatGPT建议的偏见只有在其来源已知时才明显.
- 在人工智能交互之前生成建议可以提高人工智能建议评级.
- 在自我生成之前与AI交互会降低自我评价的真实性.
结论:
- 人工智能在个人咨询领域表现出偏见.
- 人工智能使用可以触发"我与机器"的社会比较.
- 人工智能交互对用户的自我认知和真实性有重大影响.
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