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AI Governance

46 summarised stories about AI Governance, each linking back to the original source. Browse all topics →

Thursday, 16 April 2020

Improving verifiability in AI development

OpenAI Blog 6 years ago

A consortium of 58 researchers across 30 organizations published a report outlining 10 mechanisms to improve verification of claims about AI system safety, security, fairness, and privacy. The report involves institutions including the Centre for the Future of Intelligence, Mila, and the Center for Security and Emerging Technology. The mechanisms provide tools for developers to demonstrate AI system properties and for policymakers, users, and civil society to evaluate AI development practices.

Read at OpenAI Blog

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TLDRocket 20 July 2026

The open-weight AI escalation is reshaping how companies compete, but the tools connecting models to the real world are quietly mattering more. Moonshot AI's Kimi K3, a 2.8 trillion-parameter open model released this month, ranks among the world's best performers—a stark signal that Chinese labs can build frontier systems through execution, not distillation from American models. The release, encouraged by Xi Jinping's recent public support for open-source development, intensifies pressure on closed-model incumbents. OpenAI's leadership has explicitly urged US regulation of open-weight models to protect frontier labs' business models, while Ben Thompson and others argue that banning advanced open models would merely concentrate AI power among a handful of US companies and potentially harm broader innovation. The real strategic question isn't whether to restrict open models; it's how to compete when they work well and are freely available.

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AI Governance

Thursday, 16 April 2020

Improving verifiability in AI development

Every AI story that matters, in your inbox by 8am.

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