生成语法
竞赛(生物学)
变压器
生成模型
业务
广告
计算机科学
工程类
人工智能
电气工程
生态学
电压
生物
作者
Neomi Frisch Aviram,Gabriela Lotta,Luciana Jordão de Carvalho
摘要
Abstract Organizations worldwide are concerned about workers using generative pretrained transformers (GPTs), which can generate human‐like text in seconds at work. These organizations are setting rules on how and when to use GPTs. This article focuses on street‐level bureaucrats' (SLBs) intentions to use GPTs even if their public organization does not allow its use (tech rule‐breaking). Based on a mixed‐methods exploratory design, using focus groups ( N = 14) and a survey experiment ( N = 279), we demonstrate that SLBs intend to break the rules and use GPTs when their competitors from the private sector have access to artificial intelligence (AI) tools. We discuss these findings in the context of hybrid forms of public management and the Promethean moment of GPTs.
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