Artwork is increasingly being created by machines through algorithms with little or no input from humans. Yet, very little is known about people’s attitudes and evaluations of artwork generated by machines. The current study investigates (a) whether individuals are able to accurately differentiate human-made artwork from AI-generated artwork and (b) the role of attribution knowledge (i.e., information about who created the content) in their evaluation and reception of artwork. Data was collected using an Amazon Turk sample from two survey experiments designed on Qualtrics. Findings suggest that individuals are unable to accurately identify AI-generated artwork and they are likely to associate representational art to humans and abstract art to machines. There is also an interaction effect between attribution knowledge and the type of artwork (representational vs. abstract) on purchase intentions and evaluations of artworks.

越来越多的机器通过机器通过人类很少或没有输入的算法来创作艺术品。然而，人们对机器产生的艺术品的态度和评价知之甚少。当前的研究调查（a）个人是否能够从AI生成的艺术品中准确区分出人造艺术品，以及（b）归因知识（即，有关创作者的信息）在他们对艺术品的评估和接收中的作用。使用Amazon Turk样本从Qualtrics设计的两个调查实验中收集数据。研究结果表明，个人无法准确识别AI生成的艺术品，他们可能会将代表艺术与人类联系起来，将抽象艺术与机器联系起来。