高精度工程中，生成式AI的上下文控制成关键挑战
Controlling Context: Generative AI at Work in Integrated Circuit Design and Other High-Precision Domains
- 通过访谈发现，工程师在芯片设计中难控AI交互上下文
- 误用风险源于对AI输出的过度信任与上下文失真
- 适合芯片/硬件开发者及AI系统设计者阅读
生成式AI工具在工程流程中日益普及，尤其体现在聊天机器人和代码助手。随着这些工具感知准确性的提升，高精度领域从业者是否能保持错误警惕性，以及使用过程中可能遇到的其他问题，引发关注。本文通过访谈芯片设计领域的软硬件工程师及其协作人员，分析生成式AI在实际工作中的使用情况，识别其面临的主要问题。研究将各类问题归类并映射到生成式AI系统的构成要素，发现工程师与AI交互时的上下文控制是最大挑战。论文最后提出建议：增强用户对交互上下文的实时控制能力，以缓解此类问题。
原文摘要 · Abstract (English)
Generative AI tools have become more prevalent in engineering workflows, particularly through chatbots and code assistants. As the perceived accuracy of these tools improves, questions arise about whether and how those who work in high-precision domains might maintain vigilance for errors, and what other aspects of using such tools might trouble their work. This paper analyzes interviews with hardware and software engineers, and their collaborators, who work in integrated circuit design to identify the role accuracy plays in their use of generative AI tools and what other forms of trouble they face in using such tools. The paper inventories these forms of trouble, which are then mapped to elements of generative AI systems, to conclude that controlling the context of interactions between engineers and the generative AI tools is one of the largest challenges they face. The paper concludes with recommendations for mitigating this form of trouble by increasing the ability to control context interactively.
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