Stereotypes in artificial intelligence-generated content: Impact on content choice.

= 2,994, U.S. adults) further demonstrate that this surplus of stereotypical content increases the likelihood of people choosing it, driven by both its availability and existing stereotypes in people's minds. When AI offers a larger proportion of content aligned with existing stereotypes, it makes such choices more fluent. Conversely, reducing the availability of AI-generated stereotypical content in choice sets decreases individuals' stereotypical beliefs and choices. We further find that increasing awareness of stereotypes in AI-generated content does not prompt self-correction when people are exposed to stereotypes perceived relatively harmless (e.g., women-nurse). Instead, it increases the likelihood of choosing stereotypical content. However, people self-correct when exposed to AI-generated stereotypes perceived as harmful (e.g., Black people-criminal). (PsycInfo Database Record (c) 2026 APA, all rights reserved).