Artificial intelligence (AI) tools are often perceived as lacking humanlike qualities, leading to a preference for human experts over AI assistance. Extending prior research on AI aversion, the current research explores the potential aversion toward those using AI to seek advice. Through eight preregistered studies (total N = 2,317) across multiple AI use scenarios, we found that people denied humanness, especially emotional capacity and human nature traits, to AI advice seekers in comparison to human advice seekers (Studies 1-5 and S1-S3). This is because people perceived less similarity between themselves and AI advice seekers (vs. human advice seekers), with a stronger mediating role of perceived similarity among individuals with greater aversion to AI (Studies 2 and S1). Dehumanization of AI advice seekers predicted less behavioral support for (Study 3) and helping intention toward (Studies S2 and S3) them and could be alleviated through anthropomorphism-related interventions, such as perceiving humanlike qualities in AI or utilizing generative AI (Studies 4 and 5). These findings represent an important theoretical step in advancing research on AI aversion and add to the ongoing discussion on the potential adverse outcomes of AI, focusing on AI users. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

中文翻译：

---

扩展的人工智能厌恶：人们否认人工智能用户的人性。


人工智能 （AI） 工具通常被认为缺乏类似人类的品质，导致人们更喜欢人类专家而不是 AI 辅助。目前的研究扩展了先前对 AI 厌恶的研究，探讨了对使用 AI 寻求建议的人的潜在厌恶。通过针对多种 AI 使用场景的 8 项预先注册的研究（总计 N = 2,317），我们发现，与人类寻求建议者相比，人们否认了 AI 寻求建议的人性，尤其是情感能力和人性特征（研究 1-5 和 S1-S3）。这是因为人们认为自己与 AI 建议寻求者（与人类寻求建议者相比）之间的相似性较低，在更厌恶 AI 的个体中，感知相似性的中介作用更强（研究 2 和 S1）。AI 建议寻求者的非人化预示着对（研究 3）的行为支持和对（研究 S2 和 S3）的帮助意图较少，并且可以通过与拟人化相关的干预措施来缓解，例如感知 AI 中的类人品质或利用生成式 AI（研究 4 和 5）。这些发现代表了推进 AI 厌恶研究的重要理论步骤，并增加了对 AI 潜在不良后果的持续讨论，重点是 AI 用户。（PsycInfo 数据库记录 （c） 2024 APA，保留所有权利）。