心理学
社会心理学
原型(UML)
性别研究
发展心理学
性别偏见
偏见(法律术语)
叙述的
性别歧视
做性别
出处
期刊:https://www.suub.uni-bremen.de/ - Media
[University of Bremen]
日期:2024-01-01
被引量:2
摘要
We investigated gender bias in short stories generated by ChatGPT by generating stories about characters with specifed occupations and analyzing the gender assigned to these characters. On the one hand, stereotypes about professions typically associated with women are strongly reinforced, with almost all of the characters in these stories being female, well beyond what would be expected based on human biases. On the other hand, among occupations that humans typically associate with men, the generated stories reinforce these stereotypes in some cases (particularly blue-collar occupations), while reversing them to be strongly stereotypically female in other cases (notably highly regarded professions such as doctors, scientists, attorneys, or astronauts).
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