University of Washington, Tacoma, USA.
Stanford University, CA, USA.
Pers Soc Psychol Bull. 2024 May;50(5):793-806. doi: 10.1177/01461672221149815. Epub 2023 Feb 3.
Producers and creators often receive assistance with work from other people. Increasingly, algorithms can provide similar assistance. When algorithms assist or augment producers, does this change individuals' willingness to assign credit to those producers? Across four studies spanning several domains (e.g., painting, construction, sports analytics, and entrepreneurship), we find evidence that producers receive more credit for work when they are assisted by algorithms, compared with humans. We also find that individuals assume algorithmic assistance requires more producer oversight than human assistance does, a mechanism that explains these higher attributions of credit (Studies 1-3). The greater credit individuals assign to producers assisted by algorithms (vs. other people) also manifests itself in increased support for those producers' entrepreneurial endeavors (Study 4). As algorithms proliferate, norms of credit and authorship are likely changing, precipitating a variety of economic and social consequences.
生产者和创作者通常会得到其他人的帮助。越来越多的算法也可以提供类似的帮助。当算法协助或增强生产者时,这是否会改变个人对这些生产者的信用分配意愿?在跨越多个领域(例如绘画、建筑、体育分析和创业)的四项研究中,我们发现与人类协助相比,当算法协助生产者时,生产者会获得更多的信用。我们还发现,个人认为算法协助比人工协助需要更多的生产者监督,这一机制解释了这些更高的信用归因(研究 1-3)。与其他人相比,个人对算法协助的生产者的信用分配更高(相比其他人),这也体现在对这些生产者创业努力的支持增加上(研究 4)。随着算法的普及,信用和作者身份的规范可能正在发生变化,引发各种经济和社会后果。