Lightweight fine-tuning techniques and the rise of 'open' AI model marketplaces have enabled individuals to easily build and release generative models. Yet, this accessibility also raises risks, including the production of harmful and infringing content. While platforms offer policies and responsible AI tools, their effectiveness may be limited, as creators engage with partially open models that vary widely in openness and transparency. To understand how platform governance can better support responsible practices, we conducted semi-structured interviews with 19 individual model creators. We identified three regulatory needs shaped by creators' workflows: reducing downstream harms, recognizing creators' contributions and originality, and securing model ownership. Creators also repurpose RAI tools primarily for self-protection and visibility, and their sense of responsibility is deeply shaped by community norms rather than formal policies. We argue that platforms' governance decisions must consider how policy interventions shape the practices and motivations of individual creators.

翻译：轻量级微调技术与“开放”AI模型市场的兴起使得个体能够轻松构建和发布生成模型。然而，这种可及性也带来了风险，包括有害和侵权内容的产生。尽管平台提供了政策和负责任AI工具，但其有效性可能有限，因为创作者使用的是开放程度和透明度差异很大的部分开放模型。为了理解平台治理如何能更好地支持负责任实践，我们对19位个体模型创作者进行了半结构化访谈。我们识别出由创作者工作流程塑造的三种监管需求：减少下游危害、认可创作者的贡献与原创性，以及保障模型所有权。创作者还主要将RAI工具重新用于自我保护和可见性，其责任感深受社区规范而非正式政策的影响。我们认为，平台的治理决策必须考虑政策干预如何塑造个体创作者的实践与动机。