Inspired by significant technical advancements, a rapidly growing stream of research explores human lay beliefs and reactions surrounding AI tools, which employ algorithms to mimic elements of human intelligence. This literature predominantly documents negative reactions to these tools or the underlying algorithms, often referred to as algorithm aversion or, alternatively, a preference for humans. This article proposes a third interpretation: people may be to their labels, but of their output. This perspective offers three core insights for how we study people's reactions to algorithms. Research would benefit from (1) carefully considering the labeling of AI tools, (2) broadening the scope of study to include interactions with these tools, and (3) accounting for their technical configuration.

中文翻译：

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反对什么：消费者厌恶算法标签，而不是它们的输出？


受重大技术进步的启发，越来越多的研究探索人类对人工智能工具的非专业信念和反应，这些工具利用算法来模仿人类智能的元素。这些文献主要记录了对这些工具或底层算法的负面反应，通常被称为算法厌恶或对人类的偏好。本文提出了第三种解释：人们可能会关注他们的标签，但会关注他们的产出。这个观点为我们如何研究人们对算法的反应提供了三个核心见解。研究将受益于（1）仔细考虑人工智能工具的标签，（2）扩大研究范围以包括与这些工具的交互，以及（3）考虑其技术配置。