This position paper examines a paradox encountered in UX research practice: a situation where real human participants delivered less authentic insights than AI personas might have, due to context-induced biases. We share our experience developing research-based AI personas using OpenAI's custom GPT builder and conducting a design thinking workshop with high-net-worth banking clients. The workshop setting, including a luxury hotel, present portfolio managers, and hospitality dynamics, introduced biases that compromised the feedback. We propose that AI personas offer an underexplored opportunity to mitigate certain human limitations in user research, and call for frameworks that help teams recognize when traditional research contexts introduce biases that AI personas might help avoid.

翻译：本文探讨了用户体验研究实践中遇到的一个悖论：即因情境引发的偏见，真实人类参与者可能比AI人格提供的洞察更缺乏真实性。我们分享了使用OpenAI的定制GPT构建工具开发基于研究的AI人格的经验，并与高净值银行客户共同开展了设计思维工作坊。工作坊环境——包括豪华酒店、投资组合经理的在场以及接待动态——引入了损害反馈质量的偏见。我们认为，AI人格提供了尚未充分探索的机会，可缓解用户研究中特定人类局限性，并呼吁建立相关框架，帮助团队识别传统研究情境何时引入AI人格可能规避的偏见。