A governance horizon for ethical-use constraints in open-weight AI models
Ethical constraints on open-weight AI models are both a reflection of societal concerns and a foundation for AI governance policy. They are expected to propagate to downstream derivatives while implemented as voluntary metadata disclosures that must be restated at each generation of reuse. We audit 2,142,823 model repositories on Hugging Face Hub to test whether this disclosure-based governance infrastructure can sustain traceability across deep model lineages. Restriction evidence decays with a
Record details
Published: 23 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Transparency
Retrieved: 14 July 2026
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ethics.ai (23 May 2026), “A governance horizon for ethical-use constraints in open-weight AI models,” evidence record 3833, https://ethics.ai/record/3833 (originally published by arXiv).
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