As generative AI (GenAI) is increasingly applied in persona development to represent real users, understanding the implications and limitations of this technology is essential for establishing robust practices. This scoping review analyzes how 81 articles (2022-2025) use GenAI techniques for the creation, evaluation, and application of personas. The articles exhibited good level of reproducibility, with 61% of articles sharing resources (personas, code, or datasets). Furthermore, conversational persona interfaces are increasingly provided alongside traditional profiles. However, nearly half (45%) of the articles lack evaluation, and the majority (86%) use only GPT models. In some articles, GenAI use creates a risk of circularity, in which the same GenAI model both generates and evaluates outputs. Our findings also suggest that GenAI seems to reduce the role of human developers in the persona-creation process. To mitigate the associated risks, we propose actionable guidelines for the responsible integration of GenAI into persona development.

翻译：随着生成式人工智能（GenAI）在用户画像开发中日益被用于表征真实用户，理解该技术的意义与局限性对于建立稳健实践至关重要。本项范围综述分析了81篇文献（2022-2025年）如何运用GenAI技术进行用户画像的创建、评估与应用。这些文献展现出良好的可重复性，其中61%的文章共享了资源（用户画像、代码或数据集）。此外，对话式用户画像界面正越来越多地与传统用户画像文件一同提供。然而，近半数（45%）文献缺乏评估环节，且多数（86%）仅采用GPT模型。部分文献中，GenAI的使用存在循环风险，即同一GenAI模型同时承担生成与评估输出的任务。我们的研究结果还表明，GenAI似乎削弱了人类开发者在用户画像创建过程中的参与度。为减轻相关风险，我们提出了将GenAI负责任地整合到用户画像开发中的可操作指南。