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The AI development community is increasingly making use of hostingintermediaries such as Hugging Face provide easy access to user-uploaded modelsand training data. These model marketplaces lower technical deployment barriersfor hundreds of thousands of users, yet can be used in numerous potentiallyharmful 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 thetrickiest platform governance challenges seen to date. We provide case studiesof 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 openpolicy development. While the policy challenge at hand is a considerable one,we conclude with some ideas as to how platforms could better mobilize resourcesto act as a careful, fair, and proportionate regulatory access point.

Moderating Model Marketplaces: Platform Governance Puzzles for AI Intermediaries