人类监督与过载：AI辅助软件工程中两种隐藏且昂贵的负担
Human Oversight and Overload: Two Hidden and Costly Burdens of AI-Assisted Software Engineering
AI总结：
本文通过分析从业者观点，揭示了AI辅助软件工程中人类持续监督AI生成产物和认知过载两种隐藏负担，并探讨了团队应对策略。
摘要：
AI正在改变软件工程师的工作方式，但常常伴随着隐藏的负担和成本。在本文中，我们描述了两种常被忽视的负担：（1）对人类持续监督和检查AI生成产物的需求；（2）软件工程师因接收大量AI工具建议而日益增长的认知过载。人类监督的需求并非可选——工程师必须审查、验证，有时甚至重做AI产生的内容。同时，大量AI建议、提示和可能的解决方案会使开发者精神紧张。通过融合近期从业者观点的证据，我们强调了这些常被忽视的挑战，并开启了关于团队如何在日常AI辅助软件工程中应对这些挑战的对话。
英文摘要：
AI is changing how software engineers work, but it often comes with hidden burdens and costs. In this paper, we characterize two such often-overlooked burdens: (1) the constant need for human oversight and inspection of AI-generated artifacts; and (2) the growing cognitive overload on software engineers from receiving large amounts of suggestions from AI tools. The need for human oversight is not optional-engineers must review, validate, and sometimes rework what AI produces. At the same time, the flood of AI suggestions, prompts, and possible solutions can leave developers mentally stretched. By blending evidence from recent opinions from practitioners, we highlight these often-overlooked challenges and open a conversation about how teams can handle them in day-to-day AI-assisted software engineering.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
