Abstract：
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 averse to their labels, but appreciative 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.
摘要：
受重大技术进步的启发，快速增长的研究流探索人类围绕AI工具的信仰和反应，使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，或者，对人类的偏爱。这篇文章提出了第三种解释:人们可能厌恶他们的标签,但赞赏他们的输出。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，包括与这些工具的相互作用，和(3)核算其技术配置。
