AI 中文总结
受全球南方背景启发，通过系统文献综述、灰色文献分析和调查研究，探讨GenAI信任与生产力关系，发现全球南方受访者更信AI但生产力提升不明显，非全球南方受访者生产力提升强但信任度低，指出仅信任AI不足以提升生产力。
AI 中文摘要
生成式人工智能（GenAI）工具在学术界和软件开发中广泛使用，其生产力提升可能不仅取决于技术能力，还取决于用户信任和背景因素。本文展示了一项探索性研究的新结果，该研究受全球南方背景推动，调查GenAI信任与感知生产力之间的关系。进行了系统文献综述，并辅以灰色文献分析和调查研究。文献综述未发现GenAI信任、生产力和全球南方背景交叉的同行评审证据，灰色文献见解有限。调查收到36份全球南北参与者的有效回复，初步结果表明，在全球南方出生和工作的受访者往往更信任人工智能，但通常未报告使用它带来明显的生产力提升。相比之下，在全球南方以外出生和工作的受访者报告生产力提升更强、节省时间更多，尽管他们对生成式人工智能的信任度较低。这些发现表明，仅信任人工智能是不够的；生产力还取决于获取途径、任务类型以及用户检查输出的程度。
英文摘要
Generative AI (GenAI) tools are widely used in academia and software development, where productivity gains may depend not only on technical capabilities but also on users' trust and contextual factors. This paper presents emerging results from an exploratory study investigating the relationship between trust in GenAI and perceived productivity, motivated by Global South contexts. We conducted a systematic literature review, complemented by a grey literature analysis and a survey study. The literature review identified no peer-reviewed evidence at the intersection of GenAI trust, productivity, and Global South settings, while the grey literature revealed only limited insights. At the time of writing, the survey has received 36 valid responses from participants across both the Global North and Global South, including individuals with cross-regional experiences. Preliminary results suggest that respondents born and working in the Global South tended to trust AI more, but did not usually report clear productivity gains from using it. In contrast, respondents born and working outside the Global South reported stronger productivity gains and greater time savings, even though they showed less trust in generative AI. These findings suggest that trusting AI is not enough on its own; productivity also depends on access, the type of task, and how much users need to check the output.
