标题： “这对我也有效”：在线社区如何塑造软件开发人员对人工智能驱动的代码生成工具的信任 显示英文标题

标题： "It would work for me too": How Online Communities Shape Software Developers' Trust in AI-Powered Code Generation Tools

摘要： 软件开发人员通常参与在线社区以了解新技术。 随着诸如 GitHub Copilot 等革命性的 AI 驱动代码生成工具的出现，许多开发人员对如何信任这些工具感到不确定。 尽管我们看到在线社区在帮助开发人员建立对 AI 工具的适当信任方面具有潜力，但我们对社区如何塑造开发人员对 AI 工具的信任以及社区特性如何促进 AI 工具设计中的信任了解甚少。 我们通过一项两阶段的研究来探讨这些问题。 通过对 17 名开发人员的访谈研究，我们剖析了在线社区中的开发人员如何共同理解 AI 代码生成工具，包括形成适当的期望、理解、策略和对更广泛影响的认识，以及他们如何利用社区信号来评估 AI 建议。 然后，我们提出了设计机会，并进行了 11 次设计探测会话，以探索将用户社区整合到 AI 代码生成系统的设计空间。 我们以一系列设计建议结束。 显示英文摘要

摘要： Software developers commonly engage in online communities to learn about new technologies. As revolutionary AI-powered code generation tools such as GitHub Copilot emerge, many developers are uncertain about how to trust them. While we see the promise of online communities in helping developers build appropriate trust in AI tools, we know little about how communities shape developers' trust in AI tools and how community features can facilitate trust in the design of AI tools. We investigate these questions through a two-phase study. Through an interview study with 17 developers, we unpack how developers in online communities collectively make sense of AI code generation tools by developing proper expectation, understanding, strategies, and awareness of broader implications, as well as how they leverage community signals to evaluate AI suggestions. We then surface design opportunities and conduct 11 design probe sessions to explore the design space of integrating a user community to AI code generation systems. We conclude with a series of design recommendations.