探讨生成式AI代码的透明度与安全问题，提出风险应对方案。
Future of Code with Generative AI: Transparency and Safety in the Era of AI Generated Software
- 分析生成式AI代码的现状与潜在风险
- 提出提升代码透明度与功能可分析性的方法
- 适合关注AI软件安全与伦理的研究者和开发者
随着人工智能在软件开发中的深度融合，生成式AI代码的普及程度与复杂性持续快速提升。本文针对生成式代码在透明度与安全性方面的关键需求，考察当前发展态势，识别潜在风险，并探索未来影响。研究分析了检测生成式代码的市场机遇，讨论了管理日益增长的系统复杂性所面临的挑战，并提出了增强透明度与功能可分析性的解决方案。此外，本文还探讨了生成式代码的长期影响，包括其在推动人工通用智能发展中的作用，以及对人机交互模式的潜在改变。最后强调，必须采取前瞻性措施，确保人工智能在软件工程领域的负责任开发与部署。
原文摘要 · Abstract (English)
As artificial intelligence becomes increasingly integrated into software development processes, the prevalence and sophistication of AI-generated code continue to expand rapidly. This study addresses the critical need for transparency and safety in AI generated code by examining the current landscape, identifying potential risks, and exploring future implications. We analyze market opportunities for detecting AI-generated code, discuss the challenges associated with managing increasing complexity, and propose solutions to enhance transparency and functionality analysis. Furthermore, this study investigates the longterm implications of AI generated code, including its potential role in the development of artificial general intelligence and its impact on human AI interaction. In conclusion, we emphasize the importance of proactive measures for ensuring the responsible development and deployment of AI in software engineering.
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