The rise of Generative Artificial Intelligence systems (''AI systems'') has created unprecedented social engagement. AI code generation systems provide responses (output) to questions or requests by accessing the vast library of open-source code created by developers over the past few decades. However, they do so by allegedly stealing the open-source code stored in virtual libraries, known as repositories. This Article focuses on how this happens and whether there is a solution that protects innovation and avoids years of litigation. We also touch upon the array of issues raised by the relationship between AI and copyright. Looking ahead, we propose the following: (a) immediate changes to the licenses for open-source code created by developers that will limit access and/or use of any open-source code to humans only; (b) we suggest revisions to the Massachusetts Institute of Technology (''MIT'') license so that AI systems are required to procure appropriate licenses from open-source code developers, which we believe will harmonize standards and build social consensus for the benefit of all of humanity, rather than promote profit-driven centers of innovation; (c) we call for urgent legislative action to protect the future of AI systems while also promoting innovation; and (d) we propose a shift in the burden of proof to AI systems in obfuscation cases.

翻译：摘要：生成式人工智能系统（“AI系统”）的兴起引发了前所未有的社会参与。AI代码生成系统通过访问开发者过去几十年创建的开源代码庞大库，对问题或请求提供响应（输出）。然而，它们通过涉嫌窃取存储在虚拟库（即代码仓库）中的开源代码来实现这一点。本文聚焦于这一过程如何发生，以及是否存在既能保护创新又能避免多年诉讼的解决方案。我们还探讨了AI与版权关系所引发的一系列问题。展望未来，我们提出以下建议：(a) 立即修改开发者创建的开源代码许可协议，限制仅人类可访问和/或使用任何开源代码；(b) 建议修订麻省理工学院（MIT）许可协议，要求AI系统必须从开源代码开发者处获取适当许可，我们相信这将统一标准并建立有益于全人类的社会共识，而非推动以利润为中心的创新；(c) 呼吁紧急立法行动，在保护AI系统未来的同时促进创新；(d) 在混淆案件中提出将举证责任转移至AI系统。