A governance horizon for ethical-use constraints in open-weight AI models
The paper discusses ethical-use constraints in open-weight AI models and their implications for governance policy. It highlights the challenges of maintaining traceability in model lineages and the limitations of current disclosure-based governance mechanisms. The authors propose that achieving deep supply-chain accountability requires improved provenance mechanisms to propagate governance signals effectively.
- ▪Ethical constraints on open-weight AI models reflect societal concerns and are essential for AI governance policy.
- ▪An audit of over two million model repositories revealed that 80% of descendant models lack sufficient public evidence for governance determination beyond seven generations.
- ▪The study emphasizes that policy design, rather than enforcement alone, is crucial for effective governance in AI model lineages.
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Computer Science > Artificial Intelligence arXiv:2605.24383 (cs) [Submitted on 23 May 2026] Title:A governance horizon for ethical-use constraints in open-weight AI models Authors:Weiwei Xu, Hengzhi Ye, Haoran Ye, Kai Gao, Vladimir Filkov, Minghui Zhou View a PDF of the paper titled A governance horizon for ethical-use constraints in open-weight AI models, by Weiwei Xu and 5 other authors View PDF HTML (experimental) Abstract: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.
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