In the early 1980s, Open Source Software emerged as a revolutionary concept amidst the dominance of proprietary software. What began as a revolutionary idea has now become the cornerstone of computer science. Amidst OSS projects, AI is increasing its presence and relevance. However, despite the growing popularity of AI, its adoption and impacts on OSS projects remain underexplored. We aim to assess the adoption of AI libraries in Python and Java OSS projects and examine how they shape development, including the technical ecosystem and community engagement. To this end, we will perform a large-scale analysis on 157.7k potential OSS repositories, employing repository metrics and software metrics to compare projects adopting AI libraries against those that do not. We expect to identify measurable differences in development activity, community engagement, and code complexity between OSS projects that adopt AI libraries and those that do not, offering evidence-based insights into how AI integration reshapes software development practices.

翻译：20世纪80年代早期，开源软件在专有软件主导的背景下作为一种革命性理念兴起。这一始于革命性构想的运动，现已成为计算机科学的基石。在众多开源项目中，人工智能正日益提升其存在感与相关性。然而，尽管人工智能日益普及，其在开源项目中的采用情况及影响仍未得到充分探究。本研究旨在评估Python与Java开源项目中人工智能库的采用状况，并考察其如何塑造包括技术生态系统与社区参与在内的开发活动。为此，我们将对15.77万个潜在开源代码库进行大规模分析，运用代码库指标与软件指标来比较采用人工智能库的项目与未采用的项目。我们预期在采用人工智能库与未采用的开源项目之间，识别出开发活跃度、社区参与度及代码复杂度等方面可量化的差异，从而为人工智能集成如何重塑软件开发实践提供基于实证的见解。