关于开放源代码许可证的修改和撤销

Paul Gagnon, Misha Benjamin, Justine Gauthier, Catherine Regis, Jenny Lee, Alexei Nordell-Markovits
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引用次数: 0

摘要

从历史上看,一旦材料根据开源许可发布,开源承诺就被视为不可撤销。在本文中,作者主张创建一个权利子集,允许开源贡献者强迫用户(i)更新到最新版本的模型,(ii)接受新的用例限制,甚至(iii)完全停止使用软件。虽然这有别于传统的开源方法,但与开源人工智能模型相关的法律、声誉和道德风险可以证明贡献者有理由对下游使用进行更多控制。最近的立法变革也为开源贡献者在某些情况下的可操作性打开了大门。作者认为,贡献者会欢迎有能力确保下游用户正在实施更新,以解决偏见、护栏变通或对其贡献的对抗性攻击等问题。最后,本文讨论了这一许可证类别如何与 RAIL 许可证相互作用,以及它应该如何被开放源码软件平台和扫描工具等主要利益相关者操作和采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the modification and revocation of open source licences
Historically, open source commitments have been deemed irrevocable once materials are released under open source licenses. In this paper, the authors argue for the creation of a subset of rights that allows open source contributors to force users to (i) update to the most recent version of a model, (ii) accept new use case restrictions, or even (iii) cease using the software entirely. While this would be a departure from the traditional open source approach, the legal, reputational and moral risks related to open-sourcing AI models could justify contributors having more control over downstream uses. Recent legislative changes have also opened the door to liability of open source contributors in certain cases. The authors believe that contributors would welcome the ability to ensure that downstream users are implementing updates that address issues like bias, guardrail workarounds or adversarial attacks on their contributions. Finally, this paper addresses how this license category would interplay with RAIL licenses, and how it should be operationalized and adopted by key stakeholders such as OSS platforms and scanning tools.
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