The AI development community is increasingly making use of hosting
intermediaries such as Hugging Face provide easy access to user-uploaded models
and training data. These model marketplaces lower technical deployment barriers
for hundreds of thousands of users, yet can be used in numerous potentially
harmful and illegal ways. In this article, we explain ways in which AI systems,
which can both `contain' content and be open-ended tools, present one of the
trickiest platform governance challenges seen to date. We provide case studies
of several incidents across three illustrative platforms -- Hugging Face,
GitHub and Civitai -- to examine how model marketplaces moderate models.
Building on this analysis, we outline important (and yet nevertheless limited)
practices that industry has been developing to respond to moderation demands:
licensing, access and use restrictions, automated content moderation, and open
policy development. While the policy challenge at hand is a considerable one,
we conclude with some ideas as to how platforms could better mobilize resources
to act as a careful, fair, and proportionate regulatory access point.

AI 系统模型市场作为一个有待合理监管的平台，面临着可能具备潜在危害性和非法性的挑战，需要通过许可、访问和使用限制、自动内容审核和开放政策等一系列有限但重要的实践来应对。然而，如何更好地调动资源来成为一个审慎、公平和比例适当的监管接入点，仍然是一个重要的政策问题。