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：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海量开源代码库（即代码仓库）来响应用户的提问或请求。然而，它们被指控涉嫌窃取存储在虚拟库（即代码仓库）中的开源代码。本文聚焦于这一过程的发生机制，并探讨是否存在既能保护创新又能避免多年诉讼的解决方案。我们还将讨论 AI 与版权关系引发的系列问题。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证，限制仅人类才能访问和/或使用任何开源代码；（b）建议修订麻省理工学院（MIT）许可证，要求 AI 系统必须从开源代码开发者处获取适当许可证——我们认为这将统一标准、凝聚社会共识，最终惠及全人类而非助长以利润为导向的创新中心；（c）呼吁紧急立法行动，在保障 AI 系统未来发展的同时促进创新；（d）在混淆案件中，建议将举证责任转移至 AI 系统。