AI model cards insufficient for governance, paper argues

A new position paper published on arXiv argues that current model cards are insufficient for governing open-weight foundation models (OWFMs). The paper analyzes 500 model cards from Hugging Face and proposes a multi-layered approach combining model cards, acceptable use policies (AUPs), and licenses for effective downstream governance. It highlights a safety gap left by existing regulatory methods and suggests that standard open-source licenses may weaken AUP enforceability. The authors outline directions for evolving these artifacts into integrated safety tools. AI

IMPACT Proposes a more robust framework for governing open-weight AI models, potentially influencing future development and deployment practices.

RANK_REASON Academic paper published on arXiv discussing AI governance frameworks. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• Influence Flower
• model cards
• open-weight foundation models
• ScienceCast

• paper
• policy

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