AI模型许可条款日益普及，亟需工具追踪其使用合规性。
New Tools are Needed for Tracking Adherence to AI Model Behavioral Use Clauses
- 开发定制化许可证生成工具，分析300多个自定义条款。
- 发现170万份HuggingFace模型许可证中行为限制条款增长明显。
- 呼吁建立追踪工具以保障许可条款真正落地生效。
基础模型对人工智能产生了变革性影响。研发投资、训练数据的增长以及可扩展架构的结合，催生了具备强大能力的模型。发布模型资产是科学进步和商业发展的基石。然而，对人工智能被滥用的担忧促使设计了限制风险的机制。由此导致行为使用条款和可接受使用政策在主流模型（如Llama、Gemma、Deepseek）及众多小型项目中迅速普及。我们开发并部署了一个定制化AI许可证生成器，对超过300个通过该工具创建的许可证进行了定量与定性分析，并同时分析了HuggingFace模型仓库中170万份模型许可证。结果表明，此类许可证采纳率持续上升，用户对生成工具需求旺盛，且条款配置趋于一致。本文主张，追踪这些许可证的采纳与遵守情况的工具已成为当务之急，否则无法确保其推动负责任使用的初衷得以实现。
原文摘要 · Abstract (English)
Foundation models have had a transformative impact on AI. A combination of large investments in research and development, growing sources of digital data for training, and architectures that scale with data and compute has led to models with powerful capabilities. Releasing assets is fundamental to scientific advancement and commercial enterprise. However, concerns over negligent or malicious uses of AI have led to the design of mechanisms to limit the risks of the technology. The result has been a proliferation of licenses with behavioral-use clauses and acceptable-use-policies that are increasingly being adopted by commonly used families of models (Llama, Gemma, Deepseek) and a myriad of smaller projects. We created and deployed a custom AI licenses generator to facilitate license creation and have quantitatively and qualitatively analyzed over 300 customized licenses created with this tool. Alongside this we analyzed 1.7 million models licenses on the HuggingFace model hub. Our results show increasing adoption of these licenses, interest in tools that support their creation and a convergence on common clause configurations. In this paper we take the position that tools for tracking adoption of, and adherence to, these licenses is the natural next step and urgently needed in order to ensure they have the desired impact of ensuring responsible use.
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